{"id":"W3015591537","doi":"10.7202/1076383ar","title":"TRADE INDUCED MORTALITY","year":2021,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Liberian dollar; Blue collar; Exploit; Inequality; Mortality rate; Demographic economics; Economics; Geography; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0008712503,0.0002146003,0.000233282,0.001145742,0.0002682991,0.0006893221,0.0002524918,0.0005063376,0.01003267],"category_scores_gemma":[0.00338063,0.00008365886,0.0009575508,0.001079713,0.0004529911,0.0003264486,0.0008932733,0.0004756391,0.0007271168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005613872,"about_ca_system_score_gemma":0.0003196037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002012583,"about_ca_topic_score_gemma":0.00225212,"domain_scores_codex":[0.9989243,0.0005195074,0.00005839445,0.0001311346,0.0001363027,0.000230376],"domain_scores_gemma":[0.9970493,0.001069946,0.001128815,0.0003224052,0.0002105602,0.0002190382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009321863,0.0001565048,0.9568319,0.0002140753,0.0005677906,0.0005319616,0.0002831632,0.002673608,0.001286875,0.002891514,0.0018259,0.03180442],"study_design_scores_gemma":[0.00001640205,0.0003820007,0.9931022,0.0000447838,0.0001185918,0.0005557232,0.0001756578,0.0006658243,0.0004972685,0.001228817,0.003205057,0.000007579033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729762,0.005954233,0.001000902,0.001279344,0.0001260016,0.00001948857,0.002931676,0.00003750716,0.01567475],"genre_scores_gemma":[0.9961008,0.001159219,0.0001226756,0.0001519056,0.0001346592,0.000006593018,0.0006940205,0.000005954705,0.001624239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01003267,"threshold_uncertainty_score":0.03356254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2093128742096421,"score_gpt":0.4236164776406462,"score_spread":0.2143036034310041,"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."}}