{"id":"W2912409771","doi":"10.5040/9781350985636.ch-004","title":"Sex, Art and Museums: On the Changing Institutional Censorship of Shunga","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Southeast Asian Sociopolitical Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Censorship; Art; Sociology; Visual arts; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001263408,0.0001907378,0.0002347161,0.001099373,0.007332081,0.005594828,0.0006663846,0.0005860031,0.005904124],"category_scores_gemma":[0.00105759,0.0001858238,0.0002276202,0.001691234,0.01523708,0.003503207,0.003925308,0.001451359,0.0002677533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002994665,"about_ca_system_score_gemma":0.001744218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008916282,"about_ca_topic_score_gemma":0.0312221,"domain_scores_codex":[0.9994937,0.0002616305,0.00001852099,0.00005295033,0.00007287083,0.0001003174],"domain_scores_gemma":[0.9993814,0.0003224658,0.00008366755,0.0001024028,0.00003299924,0.00007701687],"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":[0.00006342908,0.00005251599,0.01666648,0.0001539611,0.00001443289,0.0008467621,0.5558615,0.0000965403,0.0007278684,0.3449688,0.004326073,0.07622174],"study_design_scores_gemma":[0.00001769521,0.000118558,0.06991058,0.0008403744,0.00005073379,0.001001745,0.4379872,0.0003312609,0.001256749,0.05619885,0.4322346,0.00005161433],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6510023,0.01295353,0.0006309017,0.004421973,0.0001716658,0.0000201416,0.00004128833,0.00003489629,0.3307232],"genre_scores_gemma":[0.9813985,0.00168743,0.0001559962,0.0001560238,0.00004226073,0.000007819253,0.00001246779,0.00001808299,0.01652136],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.008916282,"threshold_uncertainty_score":0.02172798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05594872907097791,"score_gpt":0.2888619126028741,"score_spread":0.2329131835318962,"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."}}