{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001094678,0.0001361077,0.0001589149,0.00009710121,0.0001509057,0.0001524974,0.0006082717,0.00003129669,0.0004438203],"category_scores_gemma":[0.000005581048,0.00008127829,0.00002476747,0.0003054434,0.0001568924,0.0005990121,0.0006139211,0.0001090673,0.004110384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001700431,"about_ca_system_score_gemma":0.00001281056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004398767,"about_ca_topic_score_gemma":0.000752632,"domain_scores_codex":[0.9980059,0.00003110067,0.0002443961,0.0005366236,0.0004702655,0.0007117725],"domain_scores_gemma":[0.9994292,0.00001361037,0.00002644397,0.0003903849,0.000004595185,0.0001358232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001211636,0.00005822484,0.5474723,0.00002527785,0.000002930335,0.0000164581,0.02357564,0.05818963,0.3674092,0.0002794507,0.00002550162,0.002933238],"study_design_scores_gemma":[0.0006935557,0.0001825544,0.1515186,0.0001891596,0.000006224943,0.00003353179,0.0007161256,0.1236553,0.7114874,0.003161084,0.007238948,0.001117521],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857168,0.000001959527,0.0006093544,0.0002326168,0.0002472007,0.0003301192,0.000001246019,0.00002468791,0.01283601],"genre_scores_gemma":[0.9971377,4.455156e-7,0.001280649,0.0002113981,0.00001398542,0.00001593233,0.000002499549,0.00001092768,0.001326439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3959537,"threshold_uncertainty_score":0.9966651,"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."}}