{"id":"W2795408595","doi":"10.2307/4127263","title":"The Man Who Saved Kabuki: Faubion Bowers and Theatre Censorship in Occupied Japan.","year":2002,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Japanese History and Culture","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Kabuki; Censorship; Art; Ancient history; History; Visual arts; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000904573,0.0002444448,0.0002752033,0.0008689757,0.01736124,0.005143033,0.000606987,0.001961667,0.006610631],"category_scores_gemma":[0.001924167,0.000301386,0.0001329027,0.0015429,0.01067605,0.004046639,0.003744769,0.002953971,0.0004388602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003989401,"about_ca_system_score_gemma":0.002972746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09327016,"about_ca_topic_score_gemma":0.3021891,"domain_scores_codex":[0.9995031,0.0001536523,0.00001482577,0.00004607302,0.00003804736,0.0002443742],"domain_scores_gemma":[0.9993443,0.0001682343,0.0001432778,0.00004332819,0.00006834316,0.0002323822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009184673,0.00002655528,0.0111,0.000124644,0.00001550856,0.001574348,0.9118659,0.00002968046,0.0002841839,0.04376587,0.01920824,0.01191327],"study_design_scores_gemma":[0.000007596825,0.00003394254,0.05669441,0.000221791,0.0000298583,0.0005581249,0.751179,0.00004864771,0.0001850959,0.003135562,0.1878773,0.00002871316],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8014919,0.01479459,0.000273365,0.02756092,0.0006682987,0.00001825259,0.0001361102,0.00002587924,0.1550307],"genre_scores_gemma":[0.9732553,0.002562818,0.00007110368,0.001041542,0.0001298936,0.000008026789,0.00002654099,0.00001683673,0.02288779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09327016,"threshold_uncertainty_score":0.1854545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871111627923102,"score_gpt":0.2330017338848964,"score_spread":0.2142906176056653,"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."}}