{"id":"W2319251096","doi":"10.5509/201487143","title":"Introduction: East Asian Cultural Industries: Policies, Strategies and Trajectories","year":2014,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Japanese History and Culture","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"East Asia; Economic geography; Political science; Geography; China","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001025063,0.0003316898,0.0001184407,0.0007079068,0.002479594,0.004593138,0.0003756883,0.00134359,0.01964197],"category_scores_gemma":[0.0009612541,0.0001239271,0.0001304989,0.003023084,0.001834104,0.003406193,0.001717247,0.001766976,0.001769781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002785782,"about_ca_system_score_gemma":0.007502612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03055615,"about_ca_topic_score_gemma":0.0414174,"domain_scores_codex":[0.9997539,0.00006058327,0.00001410758,0.0000353123,0.00004379575,0.00009246008],"domain_scores_gemma":[0.9991315,0.000203864,0.0001355921,0.00003059067,0.0002374905,0.0002610814],"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":[0.0001435779,0.0002615448,0.06439044,0.001566417,0.00002364034,0.0004602128,0.05482636,0.0008487987,0.001815102,0.5789987,0.1363944,0.1602709],"study_design_scores_gemma":[0.00002658255,0.0001492658,0.1508135,0.001604651,0.00003481485,0.0002371351,0.1179271,0.0007065259,0.001140674,0.03950005,0.6877863,0.00007340917],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3406546,0.02286654,0.003396581,0.1814751,0.002137022,0.0001713171,0.002507218,0.0001273513,0.4466643],"genre_scores_gemma":[0.8396089,0.01848672,0.00292044,0.01615452,0.0007250602,0.0001859355,0.0009153068,0.00004153971,0.1209616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03055615,"threshold_uncertainty_score":0.06570894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01653141347475857,"score_gpt":0.2460231475318838,"score_spread":0.2294917340571252,"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."}}