{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002679287,0.0001315699,0.0001493594,0.00003459787,0.0009762364,0.0003039327,0.0001279702,0.0001629523,0.0003367422],"category_scores_gemma":[0.0001402464,0.0001095523,0.00003205715,0.0003078301,0.0009242346,0.0007159477,0.00001489969,0.0001960233,0.00004569679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006903167,"about_ca_system_score_gemma":0.0001421392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000321711,"about_ca_topic_score_gemma":0.001217906,"domain_scores_codex":[0.9989709,0.000158954,0.0001240736,0.0002383074,0.000232933,0.0002748151],"domain_scores_gemma":[0.9995665,0.00001550838,0.00005612056,0.0001388377,0.00008443979,0.0001386062],"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":[0.00001622451,0.00002391613,0.0002519249,0.0000143587,0.00001856789,0.000001523526,0.4663785,0.000003847942,0.0001886481,0.4745964,0.05400862,0.004497488],"study_design_scores_gemma":[0.0000530551,0.0000201669,0.0001206396,0.000003434654,0.000006241357,0.000004082991,0.5561312,5.701693e-7,0.0000105434,0.0007293369,0.442831,0.00008967291],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0137451,0.0002920821,0.000028185,0.008104783,0.0009952672,0.0001188551,0.00000590773,0.0001860554,0.9765238],"genre_scores_gemma":[0.9842618,0.00002712673,0.00004021509,0.000008576215,0.003280043,0.00001000595,0.00001077441,0.000007354867,0.01235417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9705166,"threshold_uncertainty_score":0.750852,"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."}}