{"id":"W4253279832","doi":"10.1386/fm.9.3.187_5","title":"Film","year":2018,"lang":"en","type":"article","venue":"Film Matters","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Miller; Crash; Kingdom; Art history; Art; Political science; Management; Law; Computer science; Operating system; Geology","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":[0.0005846995,0.001529461,0.0004827485,0.001009604,0.005272568,0.005852515,0.0009439542,0.002227116,0.7100791],"category_scores_gemma":[0.002921138,0.0006146485,0.0006604975,0.0005826498,0.0004246741,0.002756106,0.004044889,0.003086979,0.2802549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001811219,"about_ca_system_score_gemma":0.00137339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01681337,"about_ca_topic_score_gemma":0.08685492,"domain_scores_codex":[0.9994323,0.00007213648,0.00001279636,0.00007799471,0.000225652,0.0001791176],"domain_scores_gemma":[0.9990153,0.00009965031,0.00003668671,0.00006674859,0.0002896425,0.0004918901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000224586,0.00001098133,0.00003924991,0.00001684746,0.000001679325,0.0000394307,0.00006807125,0.00001384067,0.00007607725,0.0006632815,0.9923152,0.006732916],"study_design_scores_gemma":[0.000007757222,0.00001603107,0.0005662668,0.00004083762,0.000002185391,0.00003902294,0.0002817285,0.00002552494,0.00005205786,0.0001937736,0.9987711,0.000003707449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002058497,0.002520953,0.0004236024,0.008575037,0.01552565,0.0001976987,0.003922462,0.00115181,0.9656243],"genre_scores_gemma":[0.005466057,0.0006849835,0.0003055363,0.0009695911,0.001699313,0.00005439689,0.001523449,0.0004388927,0.9888577],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7100791,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02550064026342191,"score_gpt":0.2161140650826262,"score_spread":0.1906134248192043,"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."}}