{"id":"W4250004794","doi":"10.1111/1468-0319.12263","title":"Japan","year":2017,"lang":"en","type":"article","venue":"Economic Outlook","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Investment (military); Economics; Earnings; Monetary economics; Demographic economics; Labour economics; Finance; Geography","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":[0.0004741912,0.0008065972,0.0005117779,0.00135886,0.002185878,0.002568671,0.0005484644,0.001092681,0.1436614],"category_scores_gemma":[0.0005692768,0.0004333472,0.0006070938,0.001572147,0.0004167809,0.002014102,0.00193293,0.001119021,0.06283432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001294627,"about_ca_system_score_gemma":0.002748277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01206304,"about_ca_topic_score_gemma":0.01771058,"domain_scores_codex":[0.9996035,0.00003151643,0.00004250157,0.0001474061,0.00007665401,0.00009846738],"domain_scores_gemma":[0.9991007,0.00003407512,0.00009886762,0.0001097922,0.0004553648,0.0002012822],"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":[0.0007763721,0.000257587,0.03829078,0.00273973,0.0002010155,0.003499455,0.002785092,0.0007722962,0.01699545,0.03844915,0.5020705,0.3931626],"study_design_scores_gemma":[0.00002495285,0.00006803458,0.02238247,0.000138855,0.00006881075,0.0005146386,0.001058751,0.0002775931,0.001300051,0.002376719,0.9717505,0.00003855018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07777758,0.01311066,0.01052909,0.009932572,0.005261313,0.0003802677,0.01462033,0.001863755,0.8665245],"genre_scores_gemma":[0.1446035,0.008808684,0.009695275,0.003043026,0.000987065,0.0002528348,0.01316483,0.0003883467,0.8190565],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1436614,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04712227110713085,"score_gpt":0.2496685350203482,"score_spread":0.2025462639132174,"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."}}