{"id":"W3208342394","doi":"10.32920/ryerson.14645841.v1","title":"Evaluation of laboratory methods for the analysis of microcystins","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Chromatography; Liquid chromatography–mass spectrometry; Surface water; Chemistry; Bioassay; Detection limit; Tandem mass spectrometry; Mass spectrometry; Environmental science; Biology; Environmental engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01752426,0.001952486,0.001117728,0.002625351,0.0008326088,0.00186765,0.002700267,0.001878015,0.001830511],"category_scores_gemma":[0.01371612,0.0006762191,0.0007922438,0.001288194,0.001379783,0.001202439,0.001229702,0.0009920591,0.002320088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163073,"about_ca_system_score_gemma":0.002564492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001908994,"about_ca_topic_score_gemma":0.003109843,"domain_scores_codex":[0.9654486,0.009445302,0.00197888,0.003542505,0.01895949,0.0006252088],"domain_scores_gemma":[0.9869423,0.00341328,0.00200416,0.001560584,0.005673986,0.0004055545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006705211,0.001175526,0.02478763,0.001902415,0.0002449052,0.0001232066,0.0001971199,0.001280004,0.8435366,0.001429838,0.001918806,0.1227335],"study_design_scores_gemma":[0.0002072284,0.006308553,0.04069676,0.0006485541,0.0003638104,0.001246598,0.0003551803,0.01301726,0.9040664,0.001614574,0.03132651,0.0001484493],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2349252,0.02708936,0.7042257,0.00201201,0.001608684,0.00790013,0.004473386,0.003340533,0.01442497],"genre_scores_gemma":[0.292285,0.009789149,0.6739479,0.0009403934,0.0003708523,0.007933839,0.005526696,0.0002187793,0.008987291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01752426,"threshold_uncertainty_score":0.09267825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04495253352460428,"score_gpt":0.3759605271457185,"score_spread":0.3310079936211143,"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."}}