{"id":"W4238795419","doi":"10.2307/2672466","title":"The Nanjing Massacre in History and Historiography","year":2000,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Chinese history and philosophy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Historiography; History; Archaeology","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":[0.0006475257,0.0002227636,0.0002022476,0.002221055,0.006820272,0.004604047,0.0002614756,0.0008722603,0.003100653],"category_scores_gemma":[0.000997897,0.0002071739,0.0001218502,0.003464126,0.007540251,0.003666859,0.001743678,0.0013926,0.0001584142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009624848,"about_ca_system_score_gemma":0.00571366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06280981,"about_ca_topic_score_gemma":0.1907736,"domain_scores_codex":[0.9997607,0.00008227846,0.00001145915,0.00004531251,0.00004277633,0.00005752393],"domain_scores_gemma":[0.9995919,0.000152283,0.00005716016,0.0000430088,0.00005032119,0.0001053167],"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":[0.00005615651,0.00002496559,0.01857886,0.0001899172,0.00001715333,0.0003500691,0.09305412,0.0002540007,0.0005259024,0.8314274,0.02342282,0.03209866],"study_design_scores_gemma":[0.00001534858,0.00007803465,0.1375241,0.0003564376,0.00005078881,0.0002814937,0.03973631,0.0005828036,0.0005852783,0.08758958,0.7331594,0.00004052915],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5057828,0.02793422,0.00112733,0.04544738,0.001274661,0.00002640909,0.0001807897,0.00006741824,0.4181589],"genre_scores_gemma":[0.9432216,0.004849995,0.0002178971,0.0009232059,0.0004810688,0.0000148887,0.00003927382,0.00001779869,0.05023436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06280981,"threshold_uncertainty_score":0.1248885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01425248879693109,"score_gpt":0.2249516980269408,"score_spread":0.2106992092300097,"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."}}