{"id":"W3126692678","doi":"10.1017/9789048542024.012","title":"Time/Frame: On Cinematic Duration","year":2020,"lang":"en","type":"other","venue":"","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Duration (music); Frame (networking); Computer graphics (images); Computer science; Computer vision; Visual arts; Art; Telecommunications; Literature","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001879823,0.0004631615,0.0002793747,0.001723087,0.003468524,0.006205613,0.0007514309,0.001124108,0.01127439],"category_scores_gemma":[0.00600227,0.0002440394,0.0003035875,0.001545118,0.00979282,0.009107451,0.002920427,0.00233504,0.0007527737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0040066,"about_ca_system_score_gemma":0.0008907957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007010687,"about_ca_topic_score_gemma":0.005353573,"domain_scores_codex":[0.9990819,0.000445166,0.00003259792,0.0001560967,0.0001499829,0.0001343082],"domain_scores_gemma":[0.99768,0.001475631,0.0002167741,0.0001710252,0.0002547278,0.0002018398],"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":[0.00003778903,0.000005109694,0.0003182752,0.00006573042,0.000002480463,0.00005687838,0.01339554,0.00006320739,0.0002316175,0.9668026,0.003845542,0.0151752],"study_design_scores_gemma":[0.00003406424,0.00008858371,0.003212029,0.0008169027,0.00002884591,0.0005346517,0.01649183,0.0006887451,0.0007811646,0.2949724,0.6823152,0.00003551964],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04521589,0.03507872,0.03202909,0.01248155,0.002702022,0.00006186972,0.0002332413,0.0001062928,0.8720912],"genre_scores_gemma":[0.9346384,0.01597095,0.006735463,0.001718847,0.003077896,0.0001572383,0.0001648985,0.0003232416,0.037213],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01127439,"threshold_uncertainty_score":0.03771663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02395541041705051,"score_gpt":0.2100317967874603,"score_spread":0.1860763863704098,"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."}}