{"id":"W2257748850","doi":"10.71781/17675","title":"Substrats neuronaux du traitement visuel et sémantique des mots dans le vieillissement normal : apports de la MEG","year":2014,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Psychology; Semantic memory; Cognition; Healthy aging; Developmental psychology; Humanities; Gerontology; Neuroscience; Philosophy; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0006933639,0.0004945915,0.0003715758,0.000643869,0.0001986195,0.001023257,0.0004527617,0.0006483686,0.002028424],"category_scores_gemma":[0.002223962,0.0003321287,0.0004987374,0.0005607767,0.0007020433,0.001260031,0.000611657,0.0005849927,0.0004278691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004569841,"about_ca_system_score_gemma":0.0003515301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004600381,"about_ca_topic_score_gemma":0.004804656,"domain_scores_codex":[0.9998444,0.00002928967,0.00000843792,0.00004326809,0.00005476934,0.00001969244],"domain_scores_gemma":[0.999679,0.0001848265,0.00002433138,0.00003343571,0.00006095193,0.00001752978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009241211,0.00004448372,0.02015208,0.0004493534,0.0002122912,0.001248706,0.00217433,0.002518361,0.7447945,0.005050496,0.0016568,0.2207746],"study_design_scores_gemma":[0.0001243907,0.0006943723,0.6157848,0.0003774027,0.0006360268,0.007126217,0.005135907,0.0477489,0.2459171,0.04075046,0.03544248,0.0002618452],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8374172,0.007348256,0.1379594,0.002372172,0.0003435054,0.0001499005,0.001375192,0.0005499156,0.01248435],"genre_scores_gemma":[0.9350483,0.003223012,0.0522188,0.0004694027,0.0001465993,0.0001643839,0.0004573941,0.0001798486,0.008092321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004600381,"threshold_uncertainty_score":0.009147227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02544980452971665,"score_gpt":0.3272606136181372,"score_spread":0.3018108090884206,"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."}}