Prosecution Insights
Last updated: October 02, 2026
Application No. 17/073,581

ENSEMBLE MACHINE LEARNING MODEL

Non-Final OA §101
Filed
Oct 19, 2020
Examiner
STANDKE, ADAM C
Art Unit
2129
Tech Center
2100 — Computer Architecture & Software
Assignee
International Business Machines Corporation
OA Round
5 (Non-Final)
53%
Grant Probability
Moderate
5-6
OA Rounds
0m
Est. Remaining
79%
With Interview

Examiner Intelligence

Grants 53% of resolved cases
53%
Career Allowance Rate
77 granted / 146 resolved
-2.3% vs TC avg
Strong +27% interview lift
Without
With
+26.6%
Interview Lift
resolved cases with interview
Typical timeline
4y 4m
Avg Prosecution
15 currently pending
Career history
174
Total Applications
across all art units

Statute-Specific Performance

§101
18.4%
-21.6% vs TC avg
§103
56.5%
+16.5% vs TC avg
§102
9.0%
-31.0% vs TC avg
§112
14.4%
-25.6% vs TC avg
Black line = Tech Center average estimate • Based on career data from 146 resolved cases

Office Action

§101
DETAILED ACTION Examiner Remarks In light of Applicant’s Remarks and Amendments submitted on 04/21/2026, Examiner has withdrawn the rejections under section 112(b). Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Continued Examination Under 37 CFR 1.114 A request for continued examination under 37 CFR 1.114, including the fee set forth in 37 CFR 1.17(e), was filed in this application after final rejection. Since this application is eligible for continued examination under 37 CFR 1.114, and the fee set forth in 37 CFR 1.17(e) has been timely paid, the finality of the previous Office action has been withdrawn pursuant to 37 CFR 1.114. Applicant's submission filed on 04/21/2026 has been entered. Claim Rejections - 35 USC § 101 35 U.S.C. 101 reads as follows: Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title. Claims 17 and 19-22 are rejected under 35 U.S.C. 101 because the claimed invention is directed to non-statutory subject matter. The above claims do not fall within at least one of the four categories of patent eligible subject matter because independent claim 17 recites the claim element of computer readable storage media which by its Specification definition includes transitory forms of signal transmission (i.e., signals per se). A transitory signal, while physical and real, does not possess concrete structure that would qualify as a device or part under the definition of a machine, is not a tangible article or commodity under the definition of a manufacture (even though it is man-made and physical in that it exists in the real world and has tangible causes and effects), and is not composed of matter such that it would qualify as a composition of matter. Nuijten, 500 F.3d at 1356-1357, 84 USPQ2d at 1501-03. As such, a transitory, propagating signal does not fall within any statutory category. Mentor Graphics Corp. v. EVE-USA, Inc., 851 F.3d 1275, 1294, 112 USPQ2d 1120, 1133 (Fed. Cir. 2017); Nuijten, 500 F.3d at 1356-1357, 84 USPQ2d at 1501-03 Allowable Subject Matter The following is a statement of reasons for the indication of allowable subject matter: Claims 1, 5-16 and 23-24 indicate allowable subject matter since after further search and consideration none of the references of record either alone or in combination that Examiner was able to uncover fairly disclose or suggest the combination of limitations specified in the independent claims, including at least: In claims 1, and 12 … generating a scoring matrix by applying a sigmoid function to a model results matrix to generate a plurality of model scores for the training data; generating a ground truth matrix including a ground truth score for the training data based on the plurality of model scores of the scoring matrix, wherein the ground truth score, for the training data, is generated based on a statistical measure of the plurality of model scores, of the scoring matrix, generated for the training data … The closest prior art that Examiner was able to uncover after further search and examination was Zhao, Yue, and Maciej K. Hryniewicki. "DCSO: dynamic combination of detector scores for outlier ensembles." arXiv preprint arXiv:1911.10418 (Year: 2019)(“Zhao”) which teaches a method for generating a pool of base detectors i.e., an ensemble of machine learning models that are trained to produce a training outlier score matrix based on a given score prediction function. Zhao then teaches that to evaluate the different detectors pseudo ground truths are constructed by averaging the outlier score matrix. However, Zhao does not teach generating a scoring matrix by applying a sigmoid function to a model. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to ADAM C STANDKE whose telephone number is (571)270-1806. The examiner can normally be reached Gen. M-F 9-9PM EST. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Michael J Huntley can be reached at (303) 297-4307. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /Adam C Standke/ Primary Examiner Art Unit 2129
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Prosecution Timeline

Show 17 earlier events
Dec 29, 2025
Final Rejection mailed — §101
Feb 20, 2026
Interview Requested
Feb 26, 2026
Applicant Interview (Telephonic)
Feb 27, 2026
Examiner Interview Summary
Mar 02, 2026
Response after Non-Final Action
Apr 21, 2026
Request for Continued Examination
Apr 25, 2026
Response after Non-Final Action
Aug 25, 2026
Non-Final Rejection mailed — §101 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12743614
METHOD FOR TRAINING ASYMMETRIC GENERATIVE ADVERSARIAL NETWORK TO GENERATE IMAGE AND ELECTRIC APPARATUS USING THE SAME
5y 0m to grant Granted Sep 22, 2026
Patent 12725015
RECONFIGURABLE PREDICTION ENGINE FOR GENERAL PROCESSOR COUNTING
8y 5m to grant Granted Sep 01, 2026
Patent 12725026
RUNTIME OPTIMIZATION OF COMPUTATIONS OF AN ARTIFICIAL NEURAL NETWORK COMPILED FOR EXECUTION ON A DEEP LEARNING ACCELERATOR
5y 10m to grant Granted Sep 01, 2026
Patent 12717817
SYSTEMS AND METHODS FOR TIME-BASED ABNORMALITY IDENTIFICATION WITHIN UNIFORM DATASET
7y 7m to grant Granted Aug 25, 2026
Patent 12718145
Method for correcting bias introduced by weighted training in machine learning
3y 12m to grant Granted Aug 25, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

5-6
Expected OA Rounds
53%
Grant Probability
79%
With Interview (+26.6%)
4y 4m (~0m remaining)
Median Time to Grant
High
PTA Risk
Based on 146 resolved cases by this examiner. Grant probability derived from career allowance rate.

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