{"id":"W1765594276","doi":"10.1177/001979391206500310","title":"Long-Term Consequences of Natural Resource Booms for Human Capital Accumulation","year":2012,"lang":"en","type":"article","venue":"Industrial and Labor Relations Review","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Boom; Oil boom; Human capital; Economics; Investment (military); Productivity; Labour economics; Capital (architecture); Resource (disambiguation); Macroeconomics; Market economy; Geography; Engineering","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":[0.0005706291,0.0001553542,0.0001721333,0.0005495303,0.0002720942,0.001048045,0.0003064519,0.0004208528,0.002564676],"category_scores_gemma":[0.001314523,0.00007897829,0.0003074891,0.0009152797,0.0005825498,0.0003309661,0.0003795929,0.0002976129,0.0002423897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003122805,"about_ca_system_score_gemma":0.002266902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09415354,"about_ca_topic_score_gemma":0.2029139,"domain_scores_codex":[0.9998069,0.0000288127,0.00000987107,0.00002038107,0.00005342961,0.00008065538],"domain_scores_gemma":[0.9991841,0.0002752318,0.0002852557,0.00002555025,0.0001372674,0.00009262822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005111537,0.0002485561,0.5784848,0.001387491,0.0007444034,0.002736827,0.001226716,0.02924135,0.01232157,0.06843215,0.01430776,0.2903572],"study_design_scores_gemma":[0.00001451954,0.0001205834,0.9514603,0.0003032157,0.0001480705,0.000229823,0.001368023,0.001843563,0.001457475,0.009892611,0.03313903,0.00002291808],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8677685,0.07268953,0.002177843,0.005121657,0.0001595306,0.00003568311,0.0009913421,0.00003273854,0.05102322],"genre_scores_gemma":[0.9669634,0.02600558,0.0003521384,0.0002354722,0.00006013421,0.000006978074,0.0003030812,0.000003043946,0.006070036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09415354,"threshold_uncertainty_score":0.187211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1224228570529584,"score_gpt":0.3094108332366529,"score_spread":0.1869879761836945,"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."}}