{"id":"W7133397037","doi":"","title":"Université de Montréal-Centre de Recherche/Institut Universitaire de Gériatrie-Les régularités statistiques : interface entre la cognition verbale et non-verbale ?","year":2007,"lang":"fr","type":"preprint","venue":"ORBi UMONS","topic":"Categorization, perception, and language","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cognition; Context (archaeology); Cognitive systems; Field (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006160578,0.00115545,0.001336706,0.002247076,0.00224944,0.007189168,0.001896526,0.00225603,0.04375558],"category_scores_gemma":[0.02303544,0.0007194949,0.0008374278,0.002893406,0.002524346,0.003025851,0.001635827,0.002843552,0.004860558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02093385,"about_ca_system_score_gemma":0.0247116,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6972461,"about_ca_topic_score_gemma":0.677019,"domain_scores_codex":[0.9968711,0.0008419112,0.00009650933,0.0007757976,0.0008579795,0.0005567892],"domain_scores_gemma":[0.9877171,0.005152205,0.0008007671,0.0008725583,0.003407451,0.002049906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001534632,0.0004165642,0.08693516,0.0009541325,0.0003212102,0.0006846918,0.007123013,0.003411491,0.003298147,0.137647,0.1825671,0.5751068],"study_design_scores_gemma":[0.0003973314,0.0002763452,0.6140677,0.001119309,0.000185573,0.001356873,0.004309907,0.01008359,0.005765535,0.071926,0.2901264,0.0003854581],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2709031,0.1692379,0.06442278,0.2759531,0.006434283,0.0005106318,0.0302403,0.004754168,0.177544],"genre_scores_gemma":[0.7707727,0.01905106,0.03471322,0.002887069,0.001243537,0.0002568735,0.004068463,0.0008412361,0.1661658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6972461,"threshold_uncertainty_score":0.6090738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03423282690076978,"score_gpt":0.3312002511343422,"score_spread":0.2969674242335724,"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."}}