{"id":"W3123111254","doi":"","title":"Japan’s Ultimately Unaccursed Natural Resources-Financed Industrialization","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Japanese History and Culture","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Alberta","funders":"","keywords":"Industrialisation; Natural resource; Economics; Stock (firearms); Curse; Government (linguistics); Natural (archaeology); State (computer science); Industrial policy; Development economics; Economic policy; Business; Economic system; Market economy; Economic growth; Natural resource economics; Political science; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008422823,0.000294879,0.0002286326,0.0005955861,0.002126217,0.002354372,0.0002195442,0.0007915341,0.00244186],"category_scores_gemma":[0.0007961429,0.0001751186,0.0002067851,0.0006041195,0.003426804,0.001711304,0.001945037,0.001025465,0.000363417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003475184,"about_ca_system_score_gemma":0.004106683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01944392,"about_ca_topic_score_gemma":0.03435438,"domain_scores_codex":[0.9997508,0.00003597149,0.00001106517,0.00004829824,0.00004847303,0.000105334],"domain_scores_gemma":[0.9996314,0.00004299553,0.000058175,0.00005218057,0.0001159891,0.00009934036],"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":[0.0002747535,0.0001319475,0.03150554,0.0005837904,0.00009210225,0.001520442,0.02004429,0.001255085,0.007488182,0.8039971,0.03442914,0.09867766],"study_design_scores_gemma":[0.0001129726,0.0002346786,0.2047263,0.0004033327,0.0001643421,0.0004684789,0.0149694,0.001674641,0.003807596,0.1376846,0.6356409,0.000112937],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6715574,0.005367439,0.003265044,0.02042743,0.0003722736,0.00003618719,0.0004612133,0.00009416134,0.2984188],"genre_scores_gemma":[0.9638622,0.00275106,0.001186654,0.001606366,0.0001506869,0.00003026564,0.0001007887,0.00003142147,0.03028069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01944392,"threshold_uncertainty_score":0.03866148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05113586583661665,"score_gpt":0.340864557928625,"score_spread":0.2897286920920084,"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."}}