{"id":"W4396824750","doi":"10.2139/ssrn.4825208","title":"Environmental Violations, Indigenous and Minority Population","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; University of Lethbridge","funders":"","keywords":"Indigenous; Population; Political science; Sociology; Demography; Ecology; Biology","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":[0.001001645,0.0001625867,0.0003467645,0.000912612,0.002107134,0.00182972,0.0005295411,0.001139502,0.01131849],"category_scores_gemma":[0.009043915,0.0001552394,0.0003806977,0.001964236,0.0008331588,0.001843341,0.002021045,0.001441972,0.0003696802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007650928,"about_ca_system_score_gemma":0.001665823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1314089,"about_ca_topic_score_gemma":0.1478538,"domain_scores_codex":[0.9993495,0.0001756437,0.00003576831,0.00009142566,0.00009628455,0.0002513984],"domain_scores_gemma":[0.9979226,0.0005085758,0.0005958017,0.0001120994,0.000184205,0.0006767976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001425106,0.0007654078,0.9627703,0.00006286512,0.00009478365,0.000234748,0.01319042,0.00009891024,0.0000986209,0.003979929,0.003002249,0.0155592],"study_design_scores_gemma":[0.000009971667,0.00007637196,0.9606178,0.00007142299,0.00005213303,0.0001082373,0.03449313,0.0002540222,0.00003203642,0.002750409,0.001523808,0.00001054855],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916523,0.0005855484,0.00006786921,0.002655815,0.00003964099,0.00001178772,0.0003694238,0.00000204863,0.00461569],"genre_scores_gemma":[0.9974483,0.000464456,0.00004366655,0.0002200997,0.00007341939,0.00001273712,0.0001891557,0.000002549843,0.001545625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1314089,"threshold_uncertainty_score":0.2612881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041447956537811,"score_gpt":0.2868392706576777,"score_spread":0.2764247910922996,"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."}}