{"id":"W2885668258","doi":"10.3386/w24897","title":"Economic and Non-Economic Factors in Violence: Evidence from Organized Crime, Suicides and Climate in Mexico","year":2018,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centro de Excelencia en Geotermia de Los Andes; University of California, San Diego; University of Toronto","keywords":"Economic crime; Criminology; Violent crime; Geography; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001632199,0.0002717786,0.0005524695,0.0001511345,0.0001372848,0.0001566116,0.0006365835,0.0004001661,0.0004568119],"category_scores_gemma":[0.0002387216,0.0001286173,0.00007118098,0.00009514835,0.000491628,0.0003309171,0.001027245,0.0005862208,0.00007965331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007044225,"about_ca_system_score_gemma":0.0002052633,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03425738,"about_ca_topic_score_gemma":0.02712188,"domain_scores_codex":[0.9974779,0.0001999669,0.0006880321,0.0009332373,0.0002369856,0.0004638368],"domain_scores_gemma":[0.9973248,0.002067609,0.0002485151,0.0001027295,0.0001156992,0.0001406256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001214083,0.00003228673,0.987455,0.0000332359,0.00002271138,0.000001815363,0.000197109,0.0004562591,0.00916652,0.001075725,0.0002567771,0.001181144],"study_design_scores_gemma":[0.0002273285,0.0001003258,0.9528096,0.0004357937,0.000004531323,0.000001454099,0.0003815669,0.001405275,0.004346664,0.04001969,0.00001752783,0.0002502315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965649,0.001057756,6.965133e-8,0.000527443,0.0001728422,0.0005167477,0.000239126,0.000009978013,0.0009111867],"genre_scores_gemma":[0.9884412,0.01097131,0.00005868677,0.00001190477,0.0002804308,0.00003594258,0.0001666605,0.000002714457,0.00003117412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03894396,"threshold_uncertainty_score":0.9906306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1435045758443865,"score_gpt":0.415670794328814,"score_spread":0.2721662184844275,"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."}}