{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005804505,0.0001143804,0.0003823682,0.00008980031,0.0001375888,0.00002567048,0.00009298856,0.000113499,0.0005355165],"category_scores_gemma":[0.0002245777,0.0001075824,0.00009238988,0.0001500964,0.0000747274,0.0002503335,0.00003133354,0.0001435808,0.00004918144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005333358,"about_ca_system_score_gemma":0.0000156052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004695515,"about_ca_topic_score_gemma":0.000006965364,"domain_scores_codex":[0.9988733,0.00001738737,0.00070701,0.0001759439,0.00002794746,0.0001984023],"domain_scores_gemma":[0.9992317,0.00009801483,0.0004421693,0.0001256643,0.00002562306,0.00007682723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001959612,0.0000535045,0.7507519,0.0003504186,0.0001080395,2.731574e-7,0.0003153559,0.000006195845,0.00002836161,0.2255732,0.003179777,0.01961342],"study_design_scores_gemma":[0.001715134,0.0000956329,0.3476718,0.001176527,0.00009026457,0.000012214,0.00005614564,0.00003519424,0.0001015168,0.007586238,0.6409304,0.0005289912],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8230436,0.1728898,0.00002681161,0.001152293,0.0003320112,0.0006590491,0.0001363631,0.00001350989,0.001746623],"genre_scores_gemma":[0.9943197,0.002474141,0.0001543085,0.0001815606,0.0002287321,0.00004034151,0.0001244274,0.00001026853,0.002466555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6377506,"threshold_uncertainty_score":0.586353,"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."}}