{"id":"W6903108340","doi":"10.1021/acs.est.2c06928.s001","title":"Deep Cyanobacteria\\nLayers: An Overlooked Aspect of\\nManaging Risks of Cyanobacteria","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cyanobacteria; Cyanotoxin; Microcystin; Water column; Deep water; Population","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":[0.0004671103,0.0003334075,0.0002769117,0.0006571998,0.001168952,0.001356227,0.0004025698,0.0007541465,0.001201443],"category_scores_gemma":[0.0008333248,0.0002134752,0.0001606034,0.0004543241,0.001262845,0.0007652572,0.001053337,0.0004589879,0.0002302247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002016043,"about_ca_system_score_gemma":0.001917579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09687112,"about_ca_topic_score_gemma":0.3078157,"domain_scores_codex":[0.9995329,0.00005821278,0.00002256432,0.00006240157,0.0002242102,0.00009970622],"domain_scores_gemma":[0.9994267,0.00008845229,0.0001848886,0.00004295873,0.0001886734,0.00006824694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002198199,0.00004016525,0.8342214,0.0004916743,0.00005454786,0.003816063,0.005431256,0.0004023818,0.09126912,0.001366158,0.001184686,0.06150261],"study_design_scores_gemma":[0.000005473547,0.0003324885,0.9352285,0.0003724215,0.00008370901,0.005183284,0.01228037,0.000743614,0.01855205,0.002282178,0.02489432,0.00004155556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745291,0.004692553,0.002339577,0.003275633,0.00003615629,0.00003947589,0.0003214098,0.00003700334,0.01472926],"genre_scores_gemma":[0.9925949,0.002585372,0.001841532,0.0004331789,0.00002289744,0.0000069187,0.000100979,0.0000095895,0.002404503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09687112,"threshold_uncertainty_score":0.1926145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04380099726490688,"score_gpt":0.268199824320819,"score_spread":0.2243988270559121,"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."}}