{"id":"W3009720783","doi":"10.18192/analyses.v14i2.4616","title":"« Je ne t’aime pas encore. Mais attends-moi. J’arrive. » L’horizon de l’aveu d’impuissance dans La femme qui fuit d’Anaïs Barbeau-Lavalette","year":2020,"lang":"fr","type":"article","venue":"Analyses Revue de littératures franco-canadiennes et québécoise","topic":"Historical Studies and Socio-cultural Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College Saint-Jean","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001958414,0.0004462999,0.0002994201,0.0008768218,0.01759417,0.005530044,0.0007495733,0.002222646,0.01878828],"category_scores_gemma":[0.003831067,0.0002682201,0.0002951535,0.00105399,0.01096462,0.002863995,0.001515573,0.004777879,0.002126396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01981061,"about_ca_system_score_gemma":0.02054978,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8843951,"about_ca_topic_score_gemma":0.9558348,"domain_scores_codex":[0.9981908,0.0005886251,0.00002845206,0.0001802599,0.0005024119,0.0005094262],"domain_scores_gemma":[0.997997,0.0004040134,0.0001594816,0.000118363,0.0008540851,0.0004669862],"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":[0.00009983962,0.00004775469,0.01598128,0.0002417529,0.00004427776,0.001097067,0.1920633,0.0001516713,0.001992052,0.4353916,0.2782495,0.07464],"study_design_scores_gemma":[0.000005291592,0.0000200436,0.01453646,0.0003224971,0.00001251814,0.0002787776,0.05056183,0.0000733038,0.0004414567,0.005912568,0.9277878,0.00004742346],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1132783,0.01942338,0.003860612,0.2471215,0.003365444,0.00006112271,0.0008293905,0.0001529128,0.6119072],"genre_scores_gemma":[0.5728426,0.00586398,0.001941063,0.01730061,0.0002751068,0.00004259408,0.0001410232,0.000145247,0.4014477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1156049,"threshold_uncertainty_score":0.2325714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03129536889952413,"score_gpt":0.2515983407657655,"score_spread":0.2203029718662414,"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."}}