{"id":"W4321473971","doi":"10.1016/j.marpolbul.2023.114712","title":"Dynamics of fecal coliform bacteria along Canada's coast","year":2023,"lang":"en","type":"article","venue":"Marine Pollution Bulletin","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Shell (Canada); Government of Canada; Environment and Climate Change Canada; University of Saskatchewan; University of Victoria","funders":"National Research Council Canada","keywords":"Fecal coliform; Shellfish; Indicator bacteria; Seasonality; Environmental science; Fishery; Ecology; Biology; Aquatic animal; Water quality; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001747398,0.000229824,0.0002020994,0.001843634,0.001582411,0.001335052,0.0004351636,0.0003917782,0.001900097],"category_scores_gemma":[0.000799827,0.0002451677,0.0001923672,0.002328472,0.0008453771,0.0002562839,0.0004896389,0.0005222734,0.0003126319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00942782,"about_ca_system_score_gemma":0.008494431,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.976664,"about_ca_topic_score_gemma":0.9874479,"domain_scores_codex":[0.9997204,0.00001207326,0.00000954123,0.0000378499,0.000114486,0.0001056058],"domain_scores_gemma":[0.9983505,0.00009456176,0.0001764042,0.00001726729,0.0009866913,0.0003746255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002348645,0.00003701552,0.984152,0.00002853331,0.00003058685,0.0001456379,0.001491583,0.0002476858,0.003890333,0.0001362448,0.0008811202,0.008724404],"study_design_scores_gemma":[0.000001512926,0.00001965214,0.9979171,0.000004457965,0.000005176658,0.00001484213,0.0008434434,0.00009725846,0.0002088707,0.000005729219,0.00087916,0.000002833995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953957,0.0002029068,0.00006661726,0.00008880552,0.000006553835,0.00001101324,0.00124562,0.00001009908,0.002972622],"genre_scores_gemma":[0.9939638,0.0002579719,0.0001667995,0.00004359958,0.000003924164,0.000007415501,0.0009846154,0.000004268374,0.004567619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02333599,"threshold_uncertainty_score":0.0684039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00796480173396121,"score_gpt":0.2049007986291503,"score_spread":0.1969359968951891,"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."}}