{"id":"W7164910224","doi":"10.1080/17153379.2016.12557558","title":"Beyond the Metropolis: Second Cities and Modern Life in Interwar Japan. Studies of the Weatherhead East Asian Institute.","year":2016,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Japanese History and Culture","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"East Asia; Modern life; Modern history; Far East","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":[0.0004730661,0.0003296847,0.0002053009,0.0006934703,0.004351721,0.003755371,0.00045864,0.0007921748,0.003447486],"category_scores_gemma":[0.0008162698,0.0002719953,0.0001320293,0.002373925,0.005304516,0.004269351,0.001716476,0.001485818,0.0001625861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004099697,"about_ca_system_score_gemma":0.00371718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1852891,"about_ca_topic_score_gemma":0.4981276,"domain_scores_codex":[0.9998503,0.00005722076,0.000005563536,0.00001367506,0.00001331418,0.000059825],"domain_scores_gemma":[0.9993413,0.0001169082,0.0001101504,0.00003365889,0.00008785575,0.0003101395],"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":[0.0001300988,0.0001140481,0.09422952,0.0003715782,0.00005332324,0.001013819,0.6311962,0.0003416135,0.00045343,0.1910362,0.03598202,0.04507803],"study_design_scores_gemma":[0.0000158729,0.00005714241,0.3543647,0.000350886,0.00005553231,0.0002196203,0.4544986,0.0002405971,0.0001793155,0.008328683,0.1816585,0.00003053472],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7999192,0.07214568,0.0002380377,0.04991649,0.0004635194,0.00001238343,0.0002727991,0.000016208,0.07701562],"genre_scores_gemma":[0.9836996,0.008299418,0.00004598729,0.0004120829,0.0000752197,0.000006716104,0.00003883894,0.000005237156,0.007417037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1852891,"threshold_uncertainty_score":0.3684211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02548446979097859,"score_gpt":0.2592348464600277,"score_spread":0.2337503766690491,"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."}}