{"id":"W1981195065","doi":"10.1163/22142312-12340021","title":"Regional tv: Affective Media Geographies","year":2015,"lang":"en","type":"article","venue":"Asiascape Digital Asia","topic":"Asian Culture and Media Studies","field":"Social Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Regionalism (politics); Movie theater; China; Context (archaeology); Media studies; Feeling; Advertising; Economic geography; Political science; Sociology; Business; Geography; Art; Visual arts; Politics; Psychology","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":[0.0006505942,0.0002725621,0.0001376846,0.001170872,0.002484734,0.005328989,0.0003503571,0.0007459493,0.01033497],"category_scores_gemma":[0.00266619,0.0001124345,0.0001429805,0.001555528,0.003453958,0.003391778,0.002435145,0.001231481,0.0009994732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001434327,"about_ca_system_score_gemma":0.0004446096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004662497,"about_ca_topic_score_gemma":0.006633549,"domain_scores_codex":[0.9993778,0.000367799,0.0000152736,0.00005784042,0.0001082371,0.00007291778],"domain_scores_gemma":[0.9987988,0.0005709145,0.0001773454,0.00009802295,0.000170406,0.0001845879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000134959,0.00004624593,0.009235898,0.0003971543,0.000033087,0.0008041245,0.4067152,0.0005683575,0.003830746,0.4268184,0.06885858,0.08255734],"study_design_scores_gemma":[0.00001295838,0.00004280997,0.01802286,0.0002185804,0.00002887673,0.0006539788,0.378029,0.0007562367,0.000538362,0.02384199,0.5778143,0.00004015657],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1258155,0.002636522,0.0059167,0.01153228,0.000713151,0.00003294323,0.0003111906,0.0001986832,0.852843],"genre_scores_gemma":[0.9728056,0.0009487528,0.0005433112,0.0009377455,0.0002943204,0.00002225208,0.00008237406,0.0001007374,0.02426488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01033497,"threshold_uncertainty_score":0.03457391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03193694482291269,"score_gpt":0.280454075819871,"score_spread":0.2485171309969583,"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."}}