{"id":"W3005369005","doi":"10.1016/j.scitotenv.2020.137188","title":"A geostatistical study of socioeconomic status (SES), rurality, seasonality and index test results as drivers of free private groundwater testing in southern Ontario, 2012–2016","year":2020,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kingston Health Sciences Centre; Public Health Ontario; Queen's University","funders":"","keywords":"Socioeconomic status; Geography; Population; Proxy (statistics); Socioeconomics; Water well; Groundwater; Environmental health; Medicine; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000676505,0.0003285915,0.0003950199,0.001080362,0.001910974,0.000961424,0.001172041,0.0005742293,0.001439225],"category_scores_gemma":[0.002979219,0.0004784933,0.001176702,0.004523879,0.001114458,0.0006845683,0.001522026,0.0006701417,0.0001582176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01209485,"about_ca_system_score_gemma":0.0258878,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9780402,"about_ca_topic_score_gemma":0.9912968,"domain_scores_codex":[0.9990382,0.0001253053,0.000111143,0.0002072943,0.0002131622,0.0003049075],"domain_scores_gemma":[0.9973937,0.000222974,0.00100374,0.0001703556,0.0006904255,0.000518783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007477413,0.00001549064,0.996682,0.00002352673,0.0001084098,0.00005875238,0.001033089,0.00007993158,0.00009522393,0.00007581474,0.0005564718,0.001196458],"study_design_scores_gemma":[0.000003928928,0.00001994447,0.9964547,0.0000198005,0.00004956144,0.00003420109,0.002512024,0.0002085584,0.00002418608,0.0000318051,0.0006341205,0.000007284167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951564,0.0003788199,0.000169772,0.0002779624,0.0000160324,0.0000205067,0.003162991,0.000009858522,0.0008078073],"genre_scores_gemma":[0.9980918,0.0001711669,0.00009392911,0.00003283682,0.000006618928,0.00001501798,0.0007840804,0.000004622705,0.0007999381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02195978,"threshold_uncertainty_score":0.08775473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02745590294139939,"score_gpt":0.2669687530304369,"score_spread":0.2395128500890375,"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."}}