{"id":"W2622251576","doi":"10.71781/32413","title":"Dynamique interhémisphérique dans le traitement du sens métaphorique des mots","year":2004,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Réseau Provincial de Recherche en Adaptation-Réadaptation","keywords":"Philosophy; Humanities","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001433864,0.0004487384,0.0003953633,0.001170969,0.001339925,0.004380662,0.0007119838,0.0008720351,0.01101495],"category_scores_gemma":[0.008354392,0.0005970433,0.000522404,0.001110249,0.004108031,0.004527733,0.001619259,0.001646513,0.0009858335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002737689,"about_ca_system_score_gemma":0.001938168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04583564,"about_ca_topic_score_gemma":0.03672178,"domain_scores_codex":[0.9990615,0.000309704,0.00002896867,0.0002909771,0.0002010702,0.0001078693],"domain_scores_gemma":[0.9981233,0.001013274,0.0001610879,0.0002710503,0.0003553805,0.00007581728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002700567,0.00002377241,0.004064289,0.0003927593,0.0000901141,0.0006190331,0.01279922,0.003308042,0.05207882,0.8318217,0.004773182,0.08975889],"study_design_scores_gemma":[0.0001479786,0.0001496273,0.09347116,0.0003841961,0.0002754806,0.002769171,0.01228517,0.05581966,0.03571697,0.6419331,0.1567578,0.0002896786],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2831468,0.006742728,0.5032799,0.006179376,0.0006072146,0.0001437339,0.001075766,0.001107784,0.1977168],"genre_scores_gemma":[0.9277736,0.001012858,0.04352131,0.000228879,0.00009363609,0.00009384985,0.0002457897,0.0003415144,0.02668853],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04583564,"threshold_uncertainty_score":0.09113771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02873566728783491,"score_gpt":0.2935949463636831,"score_spread":0.2648592790758482,"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."}}