{"id":"W2003838885","doi":"10.7202/007962ar","title":"L’opérateur de vues animées : deus ex machina des premières salles de cinéma (suite et fin 1)","year":2004,"lang":"fr","type":"article","venue":"Cinémas Revue d études cinématographiques","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0008108098,0.000221507,0.0001177516,0.0006258144,0.002381493,0.003224468,0.0003041142,0.0006368231,0.007312598],"category_scores_gemma":[0.001991464,0.0001896706,0.0001300373,0.0004821736,0.002509151,0.002038,0.00177044,0.0009429911,0.0004138416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001350681,"about_ca_system_score_gemma":0.0007876851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008118996,"about_ca_topic_score_gemma":0.01179823,"domain_scores_codex":[0.9995834,0.0001625752,0.00001146796,0.00009274313,0.00005442445,0.00009539163],"domain_scores_gemma":[0.999082,0.0004019785,0.0002326511,0.00005300085,0.00009444747,0.00013596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000182756,0.00007460493,0.06145508,0.000298866,0.00001729465,0.001651979,0.5578574,0.0001931434,0.009623035,0.2486389,0.003740265,0.1162666],"study_design_scores_gemma":[0.0000191008,0.000278916,0.3064463,0.0005869529,0.00004384083,0.002722726,0.2702216,0.0009430134,0.004808495,0.02843956,0.3854262,0.00006322563],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8271515,0.002574709,0.007031997,0.003441941,0.0001293258,0.00006507802,0.0002053806,0.0000441495,0.1593558],"genre_scores_gemma":[0.9832832,0.0005641037,0.001170224,0.00009596318,0.00003827358,0.00001863611,0.00003245657,0.00001029112,0.01478688],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.008118996,"threshold_uncertainty_score":0.02446306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03133604662043391,"score_gpt":0.254510082509601,"score_spread":0.2231740358891671,"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."}}