{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001108997,0.00145096,0.001296898,0.0003636689,0.0008765601,0.002664762,0.002494801,0.0006603322,0.001566179],"category_scores_gemma":[0.0008673997,0.001259728,0.0005678348,0.002158917,0.0009274189,0.003204178,0.0006292068,0.0009626005,0.0006467216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001775574,"about_ca_system_score_gemma":0.005485572,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8021699,"about_ca_topic_score_gemma":0.8463202,"domain_scores_codex":[0.9912212,0.000674061,0.001636443,0.002113174,0.001292478,0.00306266],"domain_scores_gemma":[0.9938161,0.0007647141,0.0008295724,0.00193996,0.0006049282,0.002044673],"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":[0.00008040186,0.001335478,0.006562427,0.002284579,0.0006779568,0.006009229,0.009052786,0.0009361315,0.00328915,0.2244226,0.7055289,0.03982047],"study_design_scores_gemma":[0.001176389,0.0006228682,0.007478108,0.001547984,0.0002098202,0.002143581,0.0009575082,0.00309267,0.009312104,0.005518904,0.9656471,0.002292964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1932023,0.1507924,0.004233985,0.145777,0.0158905,0.003307214,0.000659295,0.0008839238,0.4852533],"genre_scores_gemma":[0.667037,0.002190387,0.006699628,0.005688855,0.001438424,0.0001208239,0.00007233031,0.0001499448,0.3166026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4738346,"threshold_uncertainty_score":0.999824,"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."}}