{"id":"W7160282369","doi":"10.1145/3789692.3789737","title":"Recognition models based on support elementary classifiers","year":2025,"lang":"","type":"article","venue":"","topic":"Scientific Research Methodologies and Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Random subspace method; Construct (python library); Pattern recognition (psychology); Feature (linguistics); Set (abstract data type); Feature selection; Reduction (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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00258228,0.0002323075,0.000204247,0.0002108803,0.0005985318,0.00019436,0.0006890545,0.0001400902,0.112567],"category_scores_gemma":[0.0001317717,0.0002068542,0.0001665606,0.00117142,0.0006564369,0.0003071654,0.0003115843,0.0003239798,0.00257889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004632773,"about_ca_system_score_gemma":0.0001491317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002563155,"about_ca_topic_score_gemma":0.00005448397,"domain_scores_codex":[0.9967778,0.0003041242,0.0004728864,0.0009940241,0.0007590283,0.0006921276],"domain_scores_gemma":[0.9982234,0.0005748497,0.00008762623,0.0008584657,0.00003049005,0.0002251892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001482778,0.0005151096,0.0005081539,0.0000290804,0.00002570739,0.000003881137,0.00004163153,0.02364724,0.003062917,0.002222812,0.2640411,0.705754],"study_design_scores_gemma":[0.0008555856,0.0003205093,0.00603172,0.00006575557,0.00005271572,4.855444e-7,0.00146519,0.8374182,0.02159256,0.0706103,0.06118216,0.0004048423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008790871,0.00001511537,0.2897089,0.01275251,0.00070626,0.001246082,0.0002091254,0.0000834177,0.6864877],"genre_scores_gemma":[0.8166094,0.0004036453,0.08306698,0.01354351,0.00006635975,0.0004669657,0.0002319496,0.0000268711,0.08558434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8137709,"threshold_uncertainty_score":0.9981977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2342746310369678,"score_gpt":0.4028566986996691,"score_spread":0.1685820676627013,"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."}}