{"id":"W4416290401","doi":"10.29173/alr2814","title":"Aid for Sisyphus: Incentives and Canadian Content Regulation in Broadcasting","year":2025,"lang":"","type":"article","venue":"Alberta Law Review","topic":"Copyright and Intellectual Property","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Incentive; Broadcasting (networking); Indigenous; Investment (military); Content (measure theory)","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":[],"consensus_categories":[],"category_scores_codex":[0.00672779,0.0002898951,0.0002819179,0.00279072,0.01112325,0.01087339,0.001752104,0.003991135,0.01205355],"category_scores_gemma":[0.01691984,0.0002965782,0.0003411226,0.003481735,0.008959167,0.002476842,0.001972896,0.003514162,0.0004759695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1017712,"about_ca_system_score_gemma":0.1355561,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9803452,"about_ca_topic_score_gemma":0.9895244,"domain_scores_codex":[0.9913762,0.001099318,0.0001964998,0.0006672788,0.004441472,0.002219169],"domain_scores_gemma":[0.9885777,0.003731552,0.0004842007,0.0004525759,0.005725812,0.001028029],"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":[0.00003039634,0.00001003572,0.001601681,0.00009711886,0.000007647512,0.00007272085,0.002403676,0.0005107577,0.0003242171,0.9403664,0.03630101,0.01827415],"study_design_scores_gemma":[0.00004463578,0.00004251007,0.02548405,0.0004709209,0.00009035397,0.00009446267,0.005694265,0.002017558,0.001474876,0.0672871,0.8971174,0.0001818045],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06287627,0.01481043,0.004811367,0.165411,0.0008918607,0.0001561472,0.0008639265,0.000222986,0.749956],"genre_scores_gemma":[0.8203761,0.005858028,0.003468718,0.01889646,0.0003105707,0.0000625374,0.0001797666,0.00008056685,0.1507672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1017712,"threshold_uncertainty_score":0.7384049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04464006486623177,"score_gpt":0.2543894171584262,"score_spread":0.2097493522921944,"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."}}