{"id":"W2319832266","doi":"10.1037/cbs0000011","title":"Savoir identifier et marquer graphiquement les émotions du personnage d’un récit : Rôle de l’événement déclencheur de l’émotion.","year":2015,"lang":"fr","type":"article","venue":"Canadian Journal of Behavioural Science/Revue canadienne des sciences du comportement","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Psychology; Art","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":[0.001615194,0.0007864764,0.0003943198,0.001342066,0.0009083101,0.003684637,0.0006770097,0.001430152,0.009068045],"category_scores_gemma":[0.0136096,0.0002847158,0.0005588644,0.001183768,0.001574085,0.004762779,0.0008543513,0.001607283,0.002285597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470542,"about_ca_system_score_gemma":0.0007493296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0226492,"about_ca_topic_score_gemma":0.0196545,"domain_scores_codex":[0.9984591,0.000651154,0.00004694881,0.0003833435,0.0003429315,0.0001165438],"domain_scores_gemma":[0.9951054,0.002592886,0.0004029127,0.0003547529,0.001394837,0.0001492016],"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":[0.002581741,0.0003022376,0.07448847,0.002038877,0.0005014883,0.002257034,0.06684206,0.008985314,0.1388023,0.1304661,0.06485412,0.5078802],"study_design_scores_gemma":[0.0001686746,0.0005778627,0.2892919,0.001357001,0.0006712991,0.004167275,0.1065477,0.1317813,0.04993012,0.115729,0.2991774,0.0006006084],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5972304,0.003814248,0.2873795,0.01433768,0.001384653,0.000244182,0.003127097,0.003281866,0.08920027],"genre_scores_gemma":[0.9162987,0.001010386,0.05840314,0.0005689142,0.0001955428,0.0001061062,0.001206299,0.0007729124,0.02143794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0226492,"threshold_uncertainty_score":0.04503471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1768524210085202,"score_gpt":0.2805123483908182,"score_spread":0.1036599273822979,"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."}}