{"id":"W2065573223","doi":"10.7202/024885ar","title":"L’opérateur de vues animées : deus ex machina des premières salles de cinéma","year":2007,"lang":"fr","type":"article","venue":"Cinémas Revue d études cinématographiques","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":1,"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":[0.001474233,0.0002320145,0.0001444705,0.0006924668,0.004991916,0.003288141,0.0004192418,0.0008450682,0.01000853],"category_scores_gemma":[0.003393008,0.0002407558,0.0001252118,0.00048829,0.002646576,0.002495709,0.002227871,0.001579775,0.0007391607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001997577,"about_ca_system_score_gemma":0.001260315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01484679,"about_ca_topic_score_gemma":0.02652449,"domain_scores_codex":[0.9991428,0.0003542126,0.0000197356,0.0001357217,0.0001148788,0.000232569],"domain_scores_gemma":[0.9985766,0.000625689,0.0002620179,0.00006967066,0.0001354382,0.0003305177],"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":[0.0001434512,0.00009745087,0.05051872,0.000209149,0.00001233269,0.001586737,0.6314842,0.00009990313,0.004386659,0.1753617,0.009588351,0.1265112],"study_design_scores_gemma":[0.000009567801,0.0001203579,0.1310725,0.0003581133,0.00001510066,0.001515695,0.2426683,0.0004061793,0.001697835,0.006896055,0.6152079,0.00003222307],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8304293,0.003849615,0.003148102,0.007564951,0.0002488624,0.00005036658,0.0001940917,0.0000425956,0.1544721],"genre_scores_gemma":[0.9655936,0.001037997,0.0007330714,0.0001835699,0.00006861712,0.00001765695,0.00003634724,0.00001583596,0.03231337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01484679,"threshold_uncertainty_score":0.0334819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03021368619207482,"score_gpt":0.2530368138497048,"score_spread":0.22282312765763,"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."}}