{"id":"W2919670884","doi":"10.3386/w18049","title":"Education and Military Rivalry","year":2012,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Culture, Economy, and Development Studies","field":"Social Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Rivalry; Aeronautics; Political science; Psychology; Economics; Engineering","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":[0.0009678303,0.000185191,0.000412415,0.001515281,0.000846398,0.001501166,0.000274795,0.0004355199,0.007425083],"category_scores_gemma":[0.008717852,0.0001713258,0.0003655731,0.00334653,0.000839646,0.001234966,0.00173261,0.001067004,0.0005125783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008286135,"about_ca_system_score_gemma":0.0004526053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02264795,"about_ca_topic_score_gemma":0.02894435,"domain_scores_codex":[0.9989765,0.0002645599,0.00009285075,0.0002055745,0.000132476,0.0003281498],"domain_scores_gemma":[0.9845604,0.002886935,0.009712133,0.0007960747,0.0006277724,0.001416644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009311306,0.00006036253,0.9870199,0.00003308941,0.00009591151,0.0001799544,0.0007858359,0.001122985,0.0001382769,0.002655928,0.0008559619,0.006958573],"study_design_scores_gemma":[0.00001064478,0.0001049076,0.9918874,0.00002951607,0.00003909766,0.000206427,0.001507533,0.001114877,0.0002182873,0.0008897454,0.003977098,0.00001443744],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939306,0.0005851829,0.0002665037,0.0002507174,0.000008196071,0.000006535568,0.0005750549,0.000004997584,0.004372232],"genre_scores_gemma":[0.9990081,0.00009241128,0.00003273405,0.00001895832,0.000006832685,0.000002109712,0.0003683772,0.00000136395,0.0004691799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02264795,"threshold_uncertainty_score":0.04503226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3929583180324793,"score_gpt":0.5527253000361776,"score_spread":0.1597669820036983,"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."}}