{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001216201,0.0006422728,0.001371367,0.001300489,0.0004479677,0.00212412,0.002095203,0.001188659,0.002226476],"category_scores_gemma":[0.005096345,0.0003540844,0.001220572,0.00090277,0.0007357733,0.002680602,0.001168575,0.001249572,0.001231468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007374409,"about_ca_system_score_gemma":0.0007738803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002700939,"about_ca_topic_score_gemma":0.001589632,"domain_scores_codex":[0.9985228,0.0001930639,0.0001136112,0.0003721318,0.0006164651,0.0001819185],"domain_scores_gemma":[0.9979197,0.0007430364,0.0002679822,0.0002581883,0.0007371033,0.00007389505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002890061,0.0001494701,0.004391954,0.0002498703,0.0001424992,0.0004050507,0.0004186839,0.584935,0.01060592,0.141981,0.003132882,0.2532986],"study_design_scores_gemma":[0.000005339628,0.00004156815,0.0002812933,0.000009658596,0.00001663647,0.00005725725,0.00001439607,0.9775494,0.001040622,0.01977214,0.001202136,0.000009457674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01818941,0.000348377,0.977928,0.000131873,0.0000451441,0.00006030868,0.0001313378,0.0003536956,0.002811784],"genre_scores_gemma":[0.7706748,0.000998202,0.2176557,0.000152954,0.0001773701,0.0004878094,0.0007698233,0.0000702927,0.009013014],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002700939,"threshold_uncertainty_score":0.007448316,"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."}}