{"id":"W1623802809","doi":"10.22230/cjc.2003v28n2a1365","title":"Canadian National Cinema","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Movie theater; Political science; Art; Art history","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005525398,0.0007847209,0.0004535051,0.00355653,0.007996588,0.00663743,0.0009712359,0.001342956,0.3697973],"category_scores_gemma":[0.002671313,0.0003709684,0.000391288,0.003664142,0.0008875136,0.001462048,0.001273229,0.001735118,0.05755331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02488544,"about_ca_system_score_gemma":0.04763795,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8926504,"about_ca_topic_score_gemma":0.9647611,"domain_scores_codex":[0.9990706,0.00004129084,0.00002262342,0.0001228608,0.0005490456,0.0001936338],"domain_scores_gemma":[0.9975708,0.00007814564,0.00004237019,0.00009994541,0.001700164,0.0005085662],"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":[0.00001446672,0.000009016102,0.0003000947,0.0000774051,0.000002307965,0.00005012288,0.0001849101,0.00004059013,0.0001230598,0.01312208,0.9583732,0.02770264],"study_design_scores_gemma":[0.00000101267,0.000001276339,0.0009716339,0.00002549964,0.000001710544,0.00001588712,0.0001636925,0.00002051298,0.00004401752,0.0002076849,0.998543,0.000003973169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001400745,0.003547335,0.0002267303,0.006066298,0.002371324,0.00005135388,0.008316818,0.0002039536,0.9778155],"genre_scores_gemma":[0.0138461,0.002959119,0.000538184,0.0007239527,0.0002640625,0.00002407753,0.002950155,0.00009707129,0.9785972],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3697973,"threshold_uncertainty_score":0.8989077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03983266780912431,"score_gpt":0.2242741171891725,"score_spread":0.1844414493800482,"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."}}