{"id":"W789195437","doi":"10.1016/j.tele.2015.06.018","title":"Platform proliferation and its implications for domestic content policies","year":2015,"lang":"en","type":"article","venue":"Telematics and Informatics","topic":"Asian Culture and Media Studies","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Promotion (chess); Incentive; Relevance (law); Production (economics); Business; Broadcasting (networking); Distribution (mathematics); Quality (philosophy); Content analysis; Cultural policy; Control (management); Marketing; Public relations; Political science; Economics; Sociology; Law; Management; Computer science; Market economy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.005825964,0.0002560096,0.0003823912,0.002599643,0.004516176,0.0141666,0.001086439,0.003776811,0.02299552],"category_scores_gemma":[0.02560909,0.000380566,0.0003511084,0.004068907,0.006699952,0.01257661,0.004240395,0.003336507,0.00114722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007319175,"about_ca_system_score_gemma":0.004240789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006935045,"about_ca_topic_score_gemma":0.007401855,"domain_scores_codex":[0.994665,0.002120853,0.000216213,0.0005993078,0.00100024,0.001398309],"domain_scores_gemma":[0.970327,0.01960901,0.00378586,0.001441892,0.002603646,0.002232629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000135993,0.0001301663,0.01242845,0.0001079507,0.00002267069,0.0003059901,0.008407306,0.0007022511,0.0009258052,0.9523934,0.005043809,0.01939625],"study_design_scores_gemma":[0.0001213605,0.0003081913,0.09458342,0.001205221,0.0001395705,0.0005752036,0.1086365,0.006075766,0.007711082,0.5538487,0.2266429,0.0001520546],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4940379,0.001901428,0.002942283,0.03260886,0.0002008282,0.00005968351,0.0003493192,0.00006080804,0.4678388],"genre_scores_gemma":[0.9893671,0.0003811164,0.0003051425,0.001302638,0.00009878338,0.00004542097,0.00003917557,0.00002110807,0.008439562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02299552,"threshold_uncertainty_score":0.07692772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1563334591354114,"score_gpt":0.3663341158632156,"score_spread":0.2100006567278042,"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."}}