{"id":"W1482082701","doi":"","title":"Cross-Cutting: Cinema and Television in Canada","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Film Studies","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Movie theater; Art; Visual arts; Media studies; Sociology; Aesthetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0007569174,0.0003172661,0.000394322,0.005020007,0.007070451,0.007621164,0.001332943,0.001333251,0.01469824],"category_scores_gemma":[0.006406319,0.0002825152,0.0003262165,0.01133358,0.001713392,0.00197905,0.001935588,0.002277282,0.0003911102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07416111,"about_ca_system_score_gemma":0.06790701,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966611,"about_ca_topic_score_gemma":0.998351,"domain_scores_codex":[0.9987749,0.00009097703,0.00003159303,0.0001165705,0.0004482135,0.0005378319],"domain_scores_gemma":[0.9942949,0.0009501073,0.0005292124,0.00007945176,0.002624205,0.001522063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001030756,0.0006867449,0.5224763,0.0007705943,0.0002403846,0.002662827,0.08700713,0.0023631,0.001512367,0.05678425,0.1117556,0.2127101],"study_design_scores_gemma":[0.0000295654,0.00005689312,0.8037171,0.0004586279,0.0001298565,0.0002899759,0.09979428,0.001484392,0.0004819258,0.001717047,0.09174979,0.0000905315],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9036459,0.01337214,0.0003007276,0.01410975,0.0002255213,0.00005557873,0.004069251,0.00003281304,0.0641882],"genre_scores_gemma":[0.9828091,0.003248932,0.000144359,0.0005077175,0.00004932541,0.000008095178,0.0007876862,0.00001899324,0.01242592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07416111,"threshold_uncertainty_score":0.538079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02559152651513647,"score_gpt":0.2286902599883161,"score_spread":0.2030987334731796,"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."}}