{"id":"W7019209366","doi":"","title":"ExpÃ©rience comportementale et modÃ©lisation par rÃ©seau neuronal des diffÃ©rences entre les processus de catÃ©gorisation par rÃ¨gles logiques et par ressemblance familiale","year":2011,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Perspective (graphical); Unconscious mind","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002422571,0.0007077259,0.000441646,0.0009227739,0.001156904,0.004527714,0.001189674,0.001038472,0.01898053],"category_scores_gemma":[0.01287109,0.0005564301,0.001353812,0.0008351281,0.003291734,0.006329438,0.002582659,0.002462246,0.001875761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002402575,"about_ca_system_score_gemma":0.001509189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005558239,"about_ca_topic_score_gemma":0.005319181,"domain_scores_codex":[0.9978153,0.0005702008,0.0001356084,0.0007822748,0.0005417041,0.0001549658],"domain_scores_gemma":[0.9932008,0.00324816,0.0005039144,0.001364555,0.001492736,0.0001897507],"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":[0.0004223452,0.0001403594,0.04061071,0.001081793,0.0003609897,0.001725174,0.01524796,0.00649141,0.04791316,0.6547944,0.005443402,0.2257682],"study_design_scores_gemma":[0.00009737692,0.0004910394,0.135518,0.0005126783,0.0003812429,0.003313617,0.01084649,0.04966751,0.05550037,0.6090347,0.1344082,0.000228872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4668249,0.002554472,0.3442567,0.005736176,0.0005520863,0.0001806897,0.001172451,0.000884291,0.1778382],"genre_scores_gemma":[0.9039745,0.00170669,0.04887669,0.0004753406,0.000128149,0.0002504714,0.0008228319,0.0003853611,0.04338003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01898053,"threshold_uncertainty_score":0.06349623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0120545786075604,"score_gpt":0.1849446068463587,"score_spread":0.1728900282387983,"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."}}