{"id":"W2323909812","doi":"10.2307/2672290","title":"The Nation and Economic Growth: Korea and Thailand.","year":2000,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Socioeconomic Development in Asia","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Development economics; Political science; Geography; Economics","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":[0.0004805237,0.0002739428,0.0001855892,0.001132005,0.001359725,0.002577052,0.0002679775,0.0006144465,0.007995544],"category_scores_gemma":[0.001617694,0.0001341825,0.0001062563,0.005207253,0.001355739,0.002886346,0.001800359,0.001175581,0.0003300013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002103806,"about_ca_system_score_gemma":0.003546783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1145621,"about_ca_topic_score_gemma":0.3304874,"domain_scores_codex":[0.9997733,0.0001146415,0.00001004226,0.00001361122,0.0000223702,0.00006601521],"domain_scores_gemma":[0.9988176,0.0003219564,0.0001899095,0.00001582843,0.0001388471,0.0005157923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006523044,0.0002533905,0.423163,0.001028601,0.0001735704,0.004762865,0.06845694,0.001944063,0.0003168812,0.2465117,0.124653,0.1280837],"study_design_scores_gemma":[0.00003807508,0.0001365247,0.5620012,0.001757399,0.0001454627,0.0009736616,0.243028,0.001070231,0.0003649076,0.01877298,0.171651,0.00006061394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.651001,0.1477679,0.000272441,0.085357,0.0009745946,0.00003076313,0.003043177,0.00001862372,0.1115345],"genre_scores_gemma":[0.9458355,0.04166875,0.0001160076,0.0008626803,0.0001944335,0.00002137371,0.0005865207,0.000008627444,0.01070618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1145621,"threshold_uncertainty_score":0.2277905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145786550356235,"score_gpt":0.2367421925774473,"score_spread":0.225284327073885,"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."}}