{"id":"W2912215896","doi":"10.1002/aws2.1121","title":"State approaches to addressing cyanotoxins in drinking water","year":2019,"lang":"en","type":"article","venue":"AWWA Water Science","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Canada; Public Health Agency of Canada; Water Environment and Reuse Foundation; American Water Works Association Research Foundation; Water Research Foundation; Pennsylvania Department of Environmental Protection; U.S. Environmental Protection Agency; National Aeronautics and Space Administration","keywords":"Cylindrospermopsin; Environmental health; Jurisdiction; Clean Water Act; Agency (philosophy); Environmental planning; Environmental science; Environmental protection; Scope (computer science); Cyanotoxin; Environmental resource management; Water quality; Political science; Microcystin; Ecology; Law; Biology; Medicine; Cyanobacteria","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.01077339,0.0001586872,0.0001661796,0.001634498,0.003713119,0.004498254,0.001168617,0.001705153,0.003275829],"category_scores_gemma":[0.01338198,0.0003476377,0.000316698,0.002090783,0.002260767,0.002729761,0.004023076,0.002504378,0.0002075314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007230953,"about_ca_system_score_gemma":0.02824325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04554504,"about_ca_topic_score_gemma":0.1317951,"domain_scores_codex":[0.9954131,0.002155479,0.0004191209,0.0004094006,0.0008066456,0.0007962828],"domain_scores_gemma":[0.9834382,0.009102149,0.002263359,0.0008683297,0.003063371,0.001264567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000165496,0.001446348,0.3070184,0.001253422,0.0001124716,0.000774486,0.09101749,0.005244554,0.01783715,0.176658,0.03578258,0.3626897],"study_design_scores_gemma":[0.00007148355,0.0008309601,0.2966456,0.002658005,0.0003122753,0.0002851249,0.188684,0.007494737,0.01143206,0.05075885,0.4406243,0.0002024308],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7011884,0.004109305,0.01789847,0.1130358,0.0004984841,0.001080808,0.0004518675,0.0002708294,0.161466],"genre_scores_gemma":[0.9655257,0.002668825,0.01292824,0.008957166,0.0001213813,0.0006178785,0.0001691779,0.00001473567,0.008996838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04554504,"threshold_uncertainty_score":0.0905599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04599928869447639,"score_gpt":0.2229700076097116,"score_spread":0.1769707189152352,"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."}}