{"id":"W2738059148","doi":"","title":"100% Bio : Apprivoisement mutuel / 100% Bio, Canada [Québec], 2002, 101 minutes","year":2003,"lang":"fr","type":"article","venue":"Séquences : La revue de cinéma","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biology","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":[0.001579352,0.001859213,0.0009060597,0.00220149,0.006518876,0.00702466,0.001997976,0.004442582,0.2710987],"category_scores_gemma":[0.004489045,0.0009205249,0.0007347734,0.004038732,0.001448526,0.001875296,0.001627962,0.00262173,0.1260634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02715581,"about_ca_system_score_gemma":0.03558316,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9494668,"about_ca_topic_score_gemma":0.9855742,"domain_scores_codex":[0.9987072,0.00006259244,0.00004537272,0.0001039048,0.0007741097,0.0003068648],"domain_scores_gemma":[0.9973189,0.0001566885,0.00005785612,0.0001018791,0.001789233,0.0005753295],"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":[0.00001611262,0.000007193279,0.0001124336,0.0000338079,0.000001481656,0.00001734653,0.00003156557,0.00003828077,0.00004591157,0.0003662141,0.9937577,0.005572024],"study_design_scores_gemma":[0.00001342383,0.000005676261,0.002224095,0.00005895821,0.000002802569,0.00001064811,0.0001122952,0.0000525246,0.00006645256,0.0001452335,0.9972973,0.00001046311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.002428627,0.02735144,0.001328536,0.03314685,0.02569199,0.0008609738,0.05179579,0.003328516,0.8540673],"genre_scores_gemma":[0.002059635,0.002314643,0.0002945495,0.002078874,0.0004764761,0.00008957538,0.002592497,0.000332218,0.9897615],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.2710987,"threshold_uncertainty_score":0.9069154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08247656744373932,"score_gpt":0.2559173133180587,"score_spread":0.1734407458743194,"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."}}