{"id":"W3100862786","doi":"","title":"L’apaisement / Simon Brousseau, Synapses, Montréal, Cheval d’août, 2016, 115 p. / Simon Brousseau, Les fins heureuses, Montréal, Cheval d’août, 2018, 204 p.","year":2019,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Psychoanalysis and Psychopathology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Art","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":[0.0009359417,0.00180251,0.0007844989,0.00183338,0.002773213,0.003717551,0.001342046,0.002259241,0.09447264],"category_scores_gemma":[0.002649234,0.0008944128,0.000540795,0.002482908,0.002210455,0.003309158,0.001321849,0.00402317,0.02613331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01084032,"about_ca_system_score_gemma":0.007078325,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6370202,"about_ca_topic_score_gemma":0.7906543,"domain_scores_codex":[0.9994431,0.00009281513,0.00002789959,0.0001219099,0.0002470973,0.00006718664],"domain_scores_gemma":[0.9989229,0.0002246601,0.00007013087,0.00005920781,0.0005684646,0.0001545641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003028096,0.000007403867,0.0003015145,0.0001681975,0.0000104615,0.00006366207,0.0002068387,0.0000691471,0.0001662853,0.003862,0.9495107,0.04560356],"study_design_scores_gemma":[0.00000822424,0.000003404283,0.00211528,0.0002279344,0.000005373222,0.0001234717,0.0001855709,0.00004408435,0.0001333092,0.0007331165,0.9964102,0.00001012719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007807643,0.7953839,0.001119238,0.1027218,0.01611921,0.0000339869,0.00197168,0.000377517,0.08149193],"genre_scores_gemma":[0.01999617,0.3337541,0.002111026,0.01196625,0.009401141,0.00007534552,0.0009925328,0.0008500334,0.6208534],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6370202,"threshold_uncertainty_score":0.730235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01238309907712564,"score_gpt":0.2355254128604518,"score_spread":0.2231423137833261,"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."}}