{"id":"W4409187790","doi":"10.1002/9781394294404.ch10","title":"Multi‐class Classification and Adam Optimization","year":2025,"lang":"en","type":"other","venue":"","topic":"Advanced Statistical Modeling Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of British Columbia","funders":"","keywords":"Class (philosophy); Computer science; Artificial intelligence; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.00004772298,0.0001312909,0.0001342463,0.0001574423,0.00002690537,0.00005990484,0.0003245343,0.0001637013,0.00007061692],"category_scores_gemma":[0.00007639657,0.0001213602,0.00001378275,0.000123439,0.00003467787,0.00007364123,0.0001603384,0.00009478333,0.000009197179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002606601,"about_ca_system_score_gemma":0.00004155113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004143686,"about_ca_topic_score_gemma":0.00001672803,"domain_scores_codex":[0.9992473,0.00002436573,0.0001272011,0.0003946118,0.0001024342,0.0001040505],"domain_scores_gemma":[0.9993741,0.00004856408,0.00007563824,0.0004178354,0.00004497275,0.00003888394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[8.506827e-7,0.00003023631,0.000004125784,0.00004629281,0.00001086945,0.000001568454,0.00000894745,0.0009651657,0.00001910045,0.7172726,0.227306,0.05433419],"study_design_scores_gemma":[0.00006505504,0.000008769048,0.000008261433,0.00006303237,0.00000415535,4.792718e-7,9.222484e-7,0.9464774,0.00001073108,0.005101297,0.0481298,0.0001301769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[2.96296e-9,0.00007866354,0.7358688,0.0002770419,0.0000674487,0.0001524791,0.000007424045,0.001061149,0.262487],"genre_scores_gemma":[0.00002360145,0.0001606571,0.7178825,0.0001560754,0.00001340958,0.00001753379,0.00001002742,0.00003706606,0.2816991],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9455122,"threshold_uncertainty_score":0.4948927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02840054293324249,"score_gpt":0.3096301115322084,"score_spread":0.2812295685989659,"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."}}