{"id":"W2186500404","doi":"","title":"CENSORSHIP, CLASSIFICATION AND ECONOMIC CONTROL: SYSTEMS OF REGULATING FILM IN CANADA","year":2009,"lang":"en","type":"article","venue":"","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Censorship; Control (management); Political science; Business; Public relations; Computer science; Law; Artificial intelligence","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":[0.00256612,0.0002125837,0.0004222975,0.003109571,0.009979541,0.01089242,0.002074144,0.001115611,0.006055257],"category_scores_gemma":[0.01268348,0.0002852853,0.0002881289,0.003841011,0.009738803,0.001524558,0.002223128,0.001142443,0.0002100016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.11626,"about_ca_system_score_gemma":0.08332739,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9923905,"about_ca_topic_score_gemma":0.9953537,"domain_scores_codex":[0.9972526,0.0004984598,0.00007688654,0.000295922,0.0007405514,0.001135572],"domain_scores_gemma":[0.9902136,0.002496432,0.0009983657,0.0005946623,0.004346437,0.00135046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002647966,0.0001865064,0.3658983,0.0001079198,0.0001312895,0.0003365835,0.06070592,0.008337067,0.001644782,0.4631466,0.01258985,0.08665042],"study_design_scores_gemma":[0.00007371957,0.00007216833,0.7779993,0.0002093937,0.0001535455,0.0001112046,0.06491277,0.02020233,0.001695508,0.05089612,0.08342456,0.0002493577],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9320527,0.0006273477,0.001200289,0.00381513,0.000018227,0.00006114531,0.0003848435,0.00002807254,0.06181224],"genre_scores_gemma":[0.9951299,0.000110205,0.0002158027,0.0000590216,0.00000269776,0.000005827933,0.00004006804,0.000005149405,0.004431222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.11626,"threshold_uncertainty_score":0.8435292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03905226715586411,"score_gpt":0.2522611078665645,"score_spread":0.2132088407107004,"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."}}