{"id":"W4297989931","doi":"10.1007/s12403-022-00505-0","title":"When Water Quality Crises Drive Change: A Comparative Analysis of the Policy Processes Behind Major Water Contamination Events","year":2022,"lang":"en","type":"article","venue":"Exposure and Health","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Foreign, Commonwealth and Development Office; Colt Foundation","keywords":"Accountability; Context (archaeology); Blame; Arsenic contamination of groundwater; Public health; Water quality; Waterborne diseases; Environmental health; Water supply; Contamination; Environmental planning; Political science; Business; Geography; Environmental science; Groundwater; Environmental engineering; Biology; Engineering; Medicine; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006740024,0.0001741749,0.0004285282,0.002302536,0.001734477,0.003865069,0.0005949229,0.001393781,0.007379484],"category_scores_gemma":[0.02748763,0.0002080445,0.0005660604,0.003632647,0.002228675,0.003993126,0.003513406,0.001362267,0.0001796307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00828157,"about_ca_system_score_gemma":0.005190282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02681597,"about_ca_topic_score_gemma":0.0364894,"domain_scores_codex":[0.9941591,0.003513967,0.0002110918,0.0002231822,0.0004609016,0.001431843],"domain_scores_gemma":[0.9770479,0.01536408,0.004268422,0.0003181048,0.001809355,0.001192065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.004411749,0.002725597,0.6545518,0.00213304,0.0008252672,0.002514175,0.1269807,0.007698067,0.001981506,0.09519099,0.006829656,0.09415739],"study_design_scores_gemma":[0.0000853704,0.0007020861,0.6434603,0.0004752134,0.0001088373,0.00007553134,0.3377312,0.002474286,0.0004113817,0.00580109,0.008621012,0.0000536112],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851546,0.0008076096,0.0003595451,0.003030852,0.000036411,0.0001292633,0.0002599926,0.000004841097,0.01021698],"genre_scores_gemma":[0.9989709,0.0004174554,0.00008841237,0.0001158099,0.00001090187,0.00004899559,0.00006698903,0.000002532415,0.0002779522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02681597,"threshold_uncertainty_score":0.06008732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09055566413481049,"score_gpt":0.3941844480968626,"score_spread":0.3036287839620522,"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."}}