{"id":"W3123990952","doi":"","title":"Education and Military Rivalry","year":2016,"lang":"en","type":"article","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Culture, Economy, and Development Studies","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute for Advanced Research; Torsten Söderbergs Stiftelse","keywords":"Rivalry; Democracy; Politics; Commodity; State (computer science); Economics; Political science; Development economics; Political economy; Macroeconomics; Market economy; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00097506,0.0001791912,0.000402719,0.001486254,0.0008478807,0.001541196,0.0002732133,0.0004425784,0.007261172],"category_scores_gemma":[0.008534218,0.0001700254,0.0003665904,0.003322136,0.0008724237,0.001320536,0.001779126,0.001092977,0.0005215945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008643228,"about_ca_system_score_gemma":0.0004557797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02546021,"about_ca_topic_score_gemma":0.03321118,"domain_scores_codex":[0.9990063,0.0002560386,0.00009454387,0.0001951037,0.0001236627,0.0003243891],"domain_scores_gemma":[0.9854429,0.002641133,0.009198845,0.0007245363,0.0006113684,0.001381286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009476138,0.00005573827,0.9864195,0.00003675716,0.0001003367,0.0001933945,0.0009680708,0.001222099,0.0001382045,0.002900462,0.0008995148,0.006971136],"study_design_scores_gemma":[0.00001007379,0.0001052354,0.9912277,0.00003527925,0.00003773415,0.0002039891,0.001847529,0.001084166,0.000200146,0.0008643162,0.004367797,0.00001599609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940231,0.000592658,0.000243441,0.0002577935,0.000008548847,0.000006078169,0.0005446284,0.000004606571,0.004319056],"genre_scores_gemma":[0.9990343,0.00008973621,0.00002984566,0.00001898833,0.000006184039,0.000001982862,0.0003497849,0.000001297603,0.0004679537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02546021,"threshold_uncertainty_score":0.05062401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05700317902441717,"score_gpt":0.3855986008482349,"score_spread":0.3285954218238178,"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."}}