{"id":"W7164879881","doi":"10.1080/17153379.2012.12556740","title":"Reconstructing Kobe: The Geography of Crisis and Opportunity.","year":2012,"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":"Human geography; Regional geography; Development geography; Field (mathematics)","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":[0.0003619256,0.0002927283,0.0001807931,0.0009787621,0.003577364,0.003014984,0.0003383824,0.001115526,0.004226041],"category_scores_gemma":[0.001282309,0.0002379638,0.0001505835,0.001855394,0.005390122,0.004991,0.004161503,0.001488285,0.0001961271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002262737,"about_ca_system_score_gemma":0.002857204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05292958,"about_ca_topic_score_gemma":0.1074898,"domain_scores_codex":[0.9998822,0.00004019543,0.000006673668,0.00001497444,0.000008474771,0.00004750238],"domain_scores_gemma":[0.9997659,0.00004691003,0.00004468624,0.00002513304,0.0000359286,0.00008148512],"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":[0.0002918307,0.00007475146,0.08490743,0.0007544995,0.00007924091,0.006946412,0.2009362,0.002763513,0.003015098,0.5833678,0.02531217,0.091551],"study_design_scores_gemma":[0.00001892902,0.00006964836,0.1732801,0.0005349269,0.00009421608,0.000987031,0.3839847,0.001437832,0.0006655328,0.177376,0.26147,0.00008102693],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7812673,0.02114278,0.003909602,0.03301219,0.0004804701,0.00004012264,0.0006397117,0.00007766643,0.1594301],"genre_scores_gemma":[0.9910937,0.002988195,0.0006565604,0.0003890218,0.00002845706,0.0000126778,0.00007859284,0.00001349977,0.004739325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05292958,"threshold_uncertainty_score":0.105243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02402949133261125,"score_gpt":0.2538133816418722,"score_spread":0.2297838903092609,"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."}}