{"id":"W20150540","doi":"10.2166/wqrj.2003.003","title":"Spatial and Temporal Distribution of Fecal Indicator Bacteria within the Oldman River Basin of Southern Alberta, Canada","year":2003,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge; Health Canada","funders":"Health Canada; Canadian Water Network; University of Lethbridge","keywords":"Tributary; Hydrology (agriculture); Environmental science; Irrigation; Fecal coliform; Precipitation; Structural basin; Sediment; Drainage basin; Geography; Water quality; Geology; Ecology; Biology; Geomorphology; Cartography","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":[0.0001782162,0.000180253,0.0001732574,0.001699878,0.0009342604,0.000832288,0.0004067524,0.0001684875,0.000778902],"category_scores_gemma":[0.0004383885,0.0001444252,0.0001116806,0.002377206,0.0004952368,0.0001393644,0.0003343774,0.0001324109,0.00008407498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006552488,"about_ca_system_score_gemma":0.004464606,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9763117,"about_ca_topic_score_gemma":0.9931673,"domain_scores_codex":[0.9997851,0.0000115694,0.000006843487,0.00003941863,0.00008899711,0.000068095],"domain_scores_gemma":[0.9993739,0.00004206306,0.000112762,0.00001109667,0.0003332523,0.0001269353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001102203,0.00001677168,0.985551,0.00003737309,0.0000249047,0.0001865777,0.0008950559,0.0002657117,0.002707494,0.00007591324,0.0003745041,0.009754525],"study_design_scores_gemma":[0.000001372279,0.00000907526,0.9982708,0.000007487029,0.000006376261,0.00002978548,0.00080879,0.0001520463,0.0001528415,0.000007748022,0.0005506897,0.000003015925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978322,0.0003049853,0.00009151715,0.0000277964,0.000002153838,0.000009993781,0.0006273814,0.000008247839,0.001095704],"genre_scores_gemma":[0.9970913,0.0002766371,0.0002713473,0.00001825457,0.000001566064,0.000007946315,0.0006420809,0.000001683531,0.001689101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02368826,"threshold_uncertainty_score":0.04765546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04010243980538059,"score_gpt":0.3038915475923859,"score_spread":0.2637891077870053,"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."}}