{"id":"W7055640000","doi":"","title":"Cyanobacteria Monitoring and Cyanotoxin Management in Drinking Water Treatment Plants","year":2021,"lang":"","type":"dissertation","venue":"TSpace","topic":"Advanced Frequency and Time Standards","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cyanobacteria; Cyanotoxin; Phycocyanin; Water treatment; Microcystis; Raw water; Algal bloom","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":[0.0007496953,0.000391365,0.0004738039,0.00058537,0.0003340116,0.0009512089,0.0003965582,0.0005468232,0.0004090998],"category_scores_gemma":[0.001220972,0.0001672068,0.0003970102,0.0007043553,0.0002631249,0.0007385063,0.0004677793,0.0005541557,0.0001523702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001363718,"about_ca_system_score_gemma":0.0008591744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01090865,"about_ca_topic_score_gemma":0.01414731,"domain_scores_codex":[0.9995044,0.0001081573,0.00003416482,0.0001191152,0.0001857466,0.00004827777],"domain_scores_gemma":[0.9993324,0.0001887715,0.0002256846,0.00002881922,0.0001923473,0.00003203924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004642456,0.000584589,0.4227111,0.0005703765,0.0001677296,0.0003647413,0.000671406,0.1561003,0.1359903,0.0006839317,0.001262294,0.2804289],"study_design_scores_gemma":[0.00002420033,0.001080852,0.2572947,0.0001710543,0.0001400606,0.0001885697,0.001431515,0.5782412,0.1533305,0.001848274,0.006153437,0.00009571608],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745384,0.000765979,0.02168652,0.0005213025,0.00001931107,0.00007011414,0.0002569055,0.0001553884,0.001986166],"genre_scores_gemma":[0.989228,0.0006409212,0.008992603,0.00004784419,0.000009582097,0.00002151583,0.0002306831,0.00001079038,0.0008179913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01090865,"threshold_uncertainty_score":0.02169031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447664868329495,"score_gpt":0.316988360531024,"score_spread":0.3025117118477291,"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."}}