{"id":"W2938062673","doi":"10.1080/07360932.2020.1800500","title":"Selling Hollywood to China","year":2020,"lang":"en","type":"article","venue":"Forum for Social Economics","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Hollywood; Movie theater; China; Film industry; Censorship; Communism; Power (physics); Advertising; Foreign policy; Economic power; Politics; Political economy; Economics; Market economy; Political science; Business; Law; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0002447286,0.0002798287,0.0001136827,0.0004930868,0.002362575,0.001782852,0.0004150243,0.0003955946,0.02345121],"category_scores_gemma":[0.00038824,0.0001074835,0.0001849861,0.0005824238,0.0009906797,0.001178817,0.001051591,0.0006442064,0.0007096877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002792116,"about_ca_system_score_gemma":0.002139226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03777475,"about_ca_topic_score_gemma":0.09374612,"domain_scores_codex":[0.9999028,0.000008841424,0.000001681013,0.00001914859,0.000021314,0.00004609615],"domain_scores_gemma":[0.9998048,0.00002686373,0.00001807168,0.00002702433,0.00003110194,0.00009208348],"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":[0.0004349065,0.0004611542,0.07768843,0.0007163165,0.000130568,0.006575882,0.03604178,0.002882772,0.02606019,0.4123187,0.1196085,0.3170809],"study_design_scores_gemma":[0.00009345649,0.0004762476,0.1384499,0.0002217648,0.00009408507,0.0006563954,0.03017077,0.01004669,0.0109544,0.02361386,0.7851273,0.00009515762],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7826719,0.001036532,0.001633394,0.003895254,0.0001177678,0.00009884873,0.0001941141,0.00009122373,0.2102609],"genre_scores_gemma":[0.8903882,0.0008369804,0.0006768881,0.0006730684,0.00004256199,0.00002574987,0.0001307452,0.0000287806,0.1071971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03777475,"threshold_uncertainty_score":0.07845211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0697682273227062,"score_gpt":0.2931828520070776,"score_spread":0.2234146246843714,"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."}}