{"id":"W2697218275","doi":"10.7202/1039931ar","title":"Cinéma, numérique et « multiécranicité » au Québec. Considérations empiriques et réflexives","year":2017,"lang":"fr","type":"article","venue":"Recherches sociographiques","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00152955,0.000390212,0.0003289717,0.002824507,0.007646362,0.008082292,0.0009582654,0.0008422077,0.01030807],"category_scores_gemma":[0.004937036,0.0002235598,0.000175551,0.003129256,0.01490053,0.003396317,0.002049135,0.001688325,0.0002036599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06138436,"about_ca_system_score_gemma":0.03098273,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.951835,"about_ca_topic_score_gemma":0.9646587,"domain_scores_codex":[0.9987863,0.0004300302,0.00003283141,0.0002178535,0.0002720168,0.0002608875],"domain_scores_gemma":[0.9961131,0.00146872,0.0003840747,0.0002031533,0.001270576,0.0005604693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001031611,0.000062143,0.02799813,0.0004584286,0.0000333145,0.0004845699,0.1352338,0.001027076,0.001197101,0.7285696,0.01463515,0.09019759],"study_design_scores_gemma":[0.00001985195,0.00007460157,0.1750386,0.001527547,0.00008225472,0.0004531423,0.1902518,0.003822235,0.001163669,0.05024329,0.5772031,0.0001199593],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4279304,0.02092883,0.008216764,0.0448231,0.000518443,0.0001204993,0.0007646579,0.0001138649,0.4965834],"genre_scores_gemma":[0.9753382,0.002441829,0.0009796518,0.0004335791,0.00003605101,0.00002837648,0.00006184113,0.00001862037,0.02066179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06138436,"threshold_uncertainty_score":0.4453768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4952903295102963,"score_gpt":0.4434441817060271,"score_spread":0.05184614780426922,"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."}}