{"id":"W4402846573","doi":"10.1163/22106286-12341396","title":"Bandits in Print: The Water Margin and the Transformations of the Chinese Novel, written by Scott W. Gregory","year":2024,"lang":"en","type":"article","venue":"East Asian Publishing and Society","topic":"Chinese history and philosophy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Margin (machine learning); Art; History; Psychology; Literature; Computer science; Machine learning","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":[0.0006506742,0.0005953222,0.0002263523,0.0009634261,0.004936212,0.003963548,0.0004920468,0.001283528,0.01360155],"category_scores_gemma":[0.001792429,0.00017707,0.0001805324,0.001299875,0.006557695,0.003578065,0.001038559,0.002074904,0.00102859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0031327,"about_ca_system_score_gemma":0.002681984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0266206,"about_ca_topic_score_gemma":0.06231662,"domain_scores_codex":[0.9998071,0.00006318266,0.000007310918,0.00002967953,0.00006008325,0.00003271131],"domain_scores_gemma":[0.9995946,0.0001941814,0.00002875811,0.00003326579,0.00009631193,0.00005292791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008906067,0.00001758815,0.0005194509,0.0001898628,0.000009050325,0.0003276517,0.02446607,0.0001800402,0.0004444675,0.385163,0.5534858,0.03510787],"study_design_scores_gemma":[0.00001178217,0.00001696393,0.003051295,0.0002113624,0.000005494439,0.0001081316,0.01059769,0.000216242,0.0003992212,0.03055082,0.9548171,0.0000139384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03200568,0.06094736,0.001335017,0.2100757,0.02796781,0.00005051261,0.0004723015,0.0001233466,0.6670223],"genre_scores_gemma":[0.3633023,0.0220001,0.0008536218,0.01250675,0.01064377,0.00007192999,0.000175731,0.0002017348,0.5902441],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0266206,"threshold_uncertainty_score":0.05293131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008413933017740844,"score_gpt":0.2267646817033873,"score_spread":0.2183507486856464,"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."}}