{"id":"W2506834153","doi":"10.1002/9781118663202.wberen529","title":"Gentlemen's Agreement","year":2015,"lang":"en","type":"other","venue":"The Wiley Blackwell Encyclopedia of Race, Ethnicity, and Nationalism","topic":"Japanese History and Culture","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ratification; Immigration; Government (linguistics); Political science; Agreement; Law; Politics","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":[0.005160827,0.0005658516,0.0005886545,0.001806649,0.01074594,0.006305273,0.001464591,0.003665084,0.1862853],"category_scores_gemma":[0.01622772,0.0003991321,0.0006226707,0.002395665,0.001847581,0.002795055,0.005486004,0.004805215,0.05147853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003687665,"about_ca_system_score_gemma":0.009050571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0153249,"about_ca_topic_score_gemma":0.02830658,"domain_scores_codex":[0.9941473,0.001233951,0.0003751768,0.0006710758,0.002000091,0.001572284],"domain_scores_gemma":[0.9952351,0.0006165688,0.0002071529,0.0005270735,0.001998666,0.001415403],"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":[0.00005375166,0.00004481415,0.001178873,0.0000951511,0.000008070645,0.0005673312,0.003390932,0.00003231502,0.0002979648,0.1732583,0.7936757,0.02739665],"study_design_scores_gemma":[0.000004662324,0.000005647849,0.000406949,0.00003528718,0.000001731149,0.00004926163,0.0004101366,0.00001385549,0.00004881534,0.001495178,0.9975241,0.000004428543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0055398,0.0008851924,0.001007593,0.01918209,0.004662721,0.0002589508,0.0007960701,0.0001533763,0.9675142],"genre_scores_gemma":[0.03550391,0.0006377515,0.0006206416,0.01291361,0.001607315,0.0002570628,0.00056532,0.0001347526,0.9477596],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1862853,"threshold_uncertainty_score":0.6231863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0198904375904351,"score_gpt":0.2873373952119095,"score_spread":0.2674469576214744,"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."}}