{"id":"W4388204496","doi":"10.3390/toxins15110628","title":"The Effect of Microcystis on the Monitoring of Faecal Indicator Bacteria","year":2023,"lang":"en","type":"article","venue":"Toxins","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Ontario Centres of Excellence","keywords":"Microcystis; Bacteria; Escherichia coli; Microcystis aeruginosa; Microbiology; Biology; Microcosm; Microcystin; Cyanobacteria; Indicator bacteria; Enterobacteriaceae; Food science; Fecal coliform; Ecology; Biochemistry; Water quality","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003676194,0.00006023019,0.00009555624,0.000009873912,0.000082313,0.000007319777,0.0002251038,0.00002915586,0.0001895082],"category_scores_gemma":[0.00005493276,0.00002965853,0.00003524959,0.0001595565,0.00006932423,0.00001645843,0.00007719584,0.00006089929,0.000368789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002692773,"about_ca_system_score_gemma":0.000005510612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001443858,"about_ca_topic_score_gemma":0.0000391849,"domain_scores_codex":[0.9994433,0.00005975123,0.0001404885,0.0000800619,0.0001589807,0.0001174467],"domain_scores_gemma":[0.9991763,0.0004856787,0.0000898086,0.0002171742,0.000001254377,0.00002974439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007952057,0.00001957024,0.7636386,0.00004685098,0.00004729058,0.00000320835,0.001136457,0.0004342668,0.2083913,0.0007579342,0.007792684,0.01765235],"study_design_scores_gemma":[0.0002723105,0.0003996055,0.7140173,0.00006836596,0.00001524728,0.000002177774,0.0001403281,0.001117932,0.2746493,0.0001206724,0.009091214,0.0001055577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980715,0.000009172539,0.00001364467,0.0001165742,0.0001948,0.0001417454,0.0000132012,0.00001177812,0.001427594],"genre_scores_gemma":[0.9993578,0.000009782737,0.00002417541,0.00000421114,0.00004215719,0.000007082354,0.00000122624,0.000006011042,0.0005475329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06625799,"threshold_uncertainty_score":0.474016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008064088752167506,"score_gpt":0.2271690198939736,"score_spread":0.2191049311418061,"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."}}