{"id":"W3204299066","doi":"10.1016/j.jmh.2021.100065","title":"Access of migrant gold miners to compensation for occupational lung disease: Quantifying a legacy of injustice","year":2021,"lang":"en","type":"article","venue":"Journal of Migration and Health","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Institute of Population and Public Health","funders":"Canadian Institutes of Health Research; University of British Columbia; Department for International Development, UK Government","keywords":"Injustice; Compensation (psychology); Disease; Occupational lung disease; Occupational exposure; Political science; Medicine; Psychology; Environmental health; Social psychology; Pathology; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002196305,0.00005925943,0.0002263181,0.000113229,0.00003054714,0.00001238724,0.00003047,0.00001800722,0.00002255524],"category_scores_gemma":[0.0001336632,0.00005000034,0.0000821695,0.000113005,0.00002158067,0.0001802028,0.00001213401,0.00004244555,2.521531e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005890812,"about_ca_system_score_gemma":0.0004167717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009414392,"about_ca_topic_score_gemma":0.000174519,"domain_scores_codex":[0.9990576,0.00002872677,0.0004899077,0.00007875347,0.0002739136,0.00007112378],"domain_scores_gemma":[0.9990327,0.00008112757,0.000379464,0.00005534156,0.0002506677,0.0002006518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002919443,0.0005889828,0.9710623,0.002170648,0.00008422373,0.000005042046,0.000769127,0.0007150049,0.006194672,0.001049282,0.01011736,0.00432393],"study_design_scores_gemma":[0.001061431,0.0002858753,0.9938706,0.0004337382,0.0001251308,0.00001341741,0.0004021532,0.002025212,0.000427029,0.0000400917,0.001273257,0.00004205567],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847707,0.001637582,0.004387077,0.008801911,0.00008075007,0.0002265238,0.00007963033,0.000001998702,0.00001386141],"genre_scores_gemma":[0.9948659,0.0002806745,0.003435138,0.001138273,0.00009390828,0.000003419983,0.0001128341,0.000005023553,0.00006485834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02280832,"threshold_uncertainty_score":0.2038955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1140563382697093,"score_gpt":0.4286982815110774,"score_spread":0.3146419432413681,"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."}}