{"id":"W7164938810","doi":"10.1080/17153379.2012.12556782","title":"Asia’s Flying Geese: How Regionalization Shapes Japan. Cornell Studies in Political Economy.","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":"Politics","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":[0.0005127933,0.0001042006,0.0001049115,0.0002182879,0.002027118,0.001732889,0.000257689,0.000363337,0.003300298],"category_scores_gemma":[0.001086841,0.0001077553,0.0001007321,0.0006256984,0.002214408,0.001801849,0.00117605,0.0005850482,0.0001821405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001363516,"about_ca_system_score_gemma":0.001694694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1156329,"about_ca_topic_score_gemma":0.3529157,"domain_scores_codex":[0.9999048,0.00002893705,0.00000284046,0.00001308109,0.000008897368,0.0000414045],"domain_scores_gemma":[0.9993931,0.0001177613,0.0001167738,0.00003144945,0.0001137406,0.0002271312],"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":[0.0002775444,0.0001413868,0.2630304,0.0003553402,0.0001037969,0.001769673,0.420425,0.0007395225,0.003302415,0.1346169,0.06216257,0.1130755],"study_design_scores_gemma":[0.00001379293,0.00005670329,0.6299534,0.0001499681,0.0001329341,0.0001336532,0.2315322,0.0003340218,0.0003658954,0.009122927,0.1281782,0.00002640503],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8606917,0.004595648,0.0003509994,0.01593845,0.00009584179,0.000004850265,0.0002113114,0.00001309153,0.1180982],"genre_scores_gemma":[0.9930232,0.001013194,0.00009400102,0.0003191337,0.00001369006,0.000003031859,0.00004100636,0.000006680954,0.005486047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1156329,"threshold_uncertainty_score":0.2299197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07372398635028977,"score_gpt":0.308283647066749,"score_spread":0.2345596607164593,"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."}}