{"id":"W4309677606","doi":"10.1021/acs.est.2c06928","title":"Deep Cyanobacteria Layers: An Overlooked Aspect of Managing Risks of Cyanobacteria","year":2022,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Toronto; University of Saskatchewan","funders":"National Institute of Environmental Health Sciences; Natural Sciences and Engineering Research Council of Canada","keywords":"Cyanotoxin; Cyanobacteria; Microcystin; Water column; Cylindrospermopsin; Environmental science; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001824122,0.0007352743,0.0004041891,0.0006313857,0.001330672,0.003576665,0.0008465899,0.001422136,0.00217275],"category_scores_gemma":[0.003650778,0.0001999662,0.0002859631,0.000454528,0.0009232488,0.003795607,0.003162195,0.001659728,0.0003498124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001781457,"about_ca_system_score_gemma":0.004353655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009958068,"about_ca_topic_score_gemma":0.02572386,"domain_scores_codex":[0.9990652,0.0002921279,0.00004420321,0.000111327,0.0002982967,0.0001888611],"domain_scores_gemma":[0.9975631,0.000463138,0.0006834744,0.0002026948,0.0005749761,0.0005126257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003438084,0.0003627408,0.2668415,0.00130737,0.0005386057,0.00250344,0.004505383,0.06096293,0.1014632,0.0324784,0.01257623,0.5161164],"study_design_scores_gemma":[0.00006581877,0.001603859,0.3126078,0.00269523,0.0007643909,0.003683354,0.04414995,0.1266649,0.08216774,0.2444478,0.1806197,0.0005294927],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7473047,0.009017877,0.121893,0.05470531,0.0006706466,0.0004000142,0.0006538511,0.0007096942,0.06464495],"genre_scores_gemma":[0.9764251,0.002520013,0.01719083,0.001026983,0.00007513016,0.00003470842,0.00007186212,0.00003531429,0.002620147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009958068,"threshold_uncertainty_score":0.01980019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01174257951108244,"score_gpt":0.2386182078354968,"score_spread":0.2268756283244144,"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."}}