{"id":"W2042883859","doi":"10.7202/1001005ar","title":"Au-delà du cinéma. Image et temps numériques","year":2011,"lang":"fr","type":"article","venue":"Cinémas Revue d études cinématographiques","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Philosophy","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":[0.0009849304,0.0004996065,0.0002425987,0.001702355,0.001916599,0.009386824,0.0004914862,0.001329694,0.02589656],"category_scores_gemma":[0.005015064,0.0002639702,0.0002928106,0.001185308,0.004797156,0.006362166,0.002614674,0.002194193,0.002801082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002313994,"about_ca_system_score_gemma":0.001158006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006645801,"about_ca_topic_score_gemma":0.006741081,"domain_scores_codex":[0.9989281,0.000439039,0.00004410292,0.000183335,0.0003100332,0.00009530855],"domain_scores_gemma":[0.9981153,0.0008090162,0.0002214916,0.0002541395,0.0003894705,0.0002105645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001229885,0.00003477862,0.002527963,0.0003512876,0.00001444822,0.0002506165,0.03362327,0.0003069303,0.003142313,0.8434092,0.0196295,0.09658658],"study_design_scores_gemma":[0.00001721352,0.00004781839,0.01136875,0.0004171299,0.00002068571,0.001010039,0.01557768,0.0008529674,0.00161214,0.09572334,0.8733016,0.00005063998],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03367444,0.008335061,0.02002894,0.007943839,0.001470137,0.00006750984,0.0003902558,0.0002603078,0.9278296],"genre_scores_gemma":[0.7119913,0.005692288,0.01742168,0.00149174,0.001020428,0.0001351936,0.0003205747,0.0004748317,0.2614519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02589656,"threshold_uncertainty_score":0.08663261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1768407667505017,"score_gpt":0.2943963811502091,"score_spread":0.1175556143997074,"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."}}