{"id":"W6930388102","doi":"10.5281/zenodo.12193255","title":"NLPModelsJuMP.jl","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Stochastic Gradient Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Nonlinear system; Mathematical model; Jump; Process (computing); Nonlinear programming","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003737307,0.0002601016,0.0002152487,0.000837835,0.0004796271,0.001551491,0.002907456,0.000183424,0.01480533],"category_scores_gemma":[0.0002041836,0.000274116,0.0000823937,0.0008890267,0.000122672,0.0001846094,0.002673046,0.0003678124,0.03876395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001385037,"about_ca_system_score_gemma":0.000005325302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001477501,"about_ca_topic_score_gemma":1.428788e-7,"domain_scores_codex":[0.9979099,0.0001516506,0.0002474057,0.0008088932,0.0004986675,0.0003834598],"domain_scores_gemma":[0.9983449,0.00001133673,0.000142124,0.001090289,0.0002386914,0.000172681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000157976,0.00003283129,1.156648e-8,0.00007428373,0.00003402114,0.00001471767,0.0002240911,0.00001590702,0.00002424982,0.1116763,0.8634876,0.02441438],"study_design_scores_gemma":[0.0001175404,0.00009472959,5.322055e-7,0.0001569628,0.00001365207,0.00008707268,0.00001285768,0.00642603,0.00003719588,0.003746164,0.9890275,0.0002797578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[1.556117e-7,0.0002569404,0.4685147,0.00027918,0.0002261284,0.0002812662,0.00008267726,0.005934128,0.5244248],"genre_scores_gemma":[0.001003415,0.000356628,0.06096387,0.0004110488,0.0006575602,2.864728e-7,0.001568942,0.02580738,0.9092309],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4075509,"threshold_uncertainty_score":0.9999711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03476828824167595,"score_gpt":0.2501411934190127,"score_spread":0.2153729051773368,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}