{"id":"W4407366459","doi":"10.2139/ssrn.5131410","title":"Does The Presence of Interstate War and Its Intensity Hinder Gross Domestic Product Per Capita?","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Defense, Military, and Policy Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Wilfrid Laurier University","funders":"","keywords":"Per capita; Gross domestic product; Economics; Intensity (physics); Product (mathematics); Agricultural economics; Demographic economics; Macroeconomics; Demography; Mathematics; Physics","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":[0.00156488,0.0003509657,0.0005620313,0.0009211794,0.0004311041,0.002983016,0.0005444548,0.001512007,0.01429365],"category_scores_gemma":[0.01044806,0.0002731122,0.0006255109,0.001690476,0.001412631,0.001946662,0.001299293,0.001090025,0.001741568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000694647,"about_ca_system_score_gemma":0.001132337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009253729,"about_ca_topic_score_gemma":0.01213922,"domain_scores_codex":[0.9991776,0.0002331952,0.00005654529,0.0001401546,0.00008142428,0.0003109351],"domain_scores_gemma":[0.9806272,0.007369985,0.009294007,0.0003347663,0.0004787938,0.001895142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005163652,0.0002511102,0.9764336,0.0001125291,0.0004804442,0.0003183717,0.0003191347,0.001997136,0.0005120492,0.00955075,0.001414078,0.008094454],"study_design_scores_gemma":[0.00003839081,0.0003490068,0.9801185,0.00007110812,0.0003025921,0.0002137656,0.003238199,0.002026109,0.0006818452,0.007686433,0.005249839,0.00002419323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709726,0.001644637,0.0005454211,0.005803011,0.00008275013,0.0000144719,0.001217368,0.00001997396,0.01969975],"genre_scores_gemma":[0.9974198,0.0005526639,0.00006621917,0.0002093444,0.00007592022,0.00000418287,0.0002285406,0.000006763063,0.001436481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01429365,"threshold_uncertainty_score":0.04781699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02091173560671905,"score_gpt":0.2499478898187159,"score_spread":0.2290361542119968,"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."}}