{"id":"W2063039954","doi":"10.1139/cjm-2013-0694","title":"Relationship between water quality parameters and bacterial indicators in a large prairie reservoir: Lake Diefenbaker, Saskatchewan, Canada","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Saskatchewan","funders":"","keywords":"Indicator bacteria; Water quality; Environmental science; Fecal coliform; Water column; Abundance (ecology); Farm water; Hydrology (agriculture); Irrigation; Sediment; Ecology; Biology; Water conservation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001538886,0.000106981,0.0002438677,0.0001550014,0.0001026456,0.00002108857,0.0001951547,0.0001329605,0.0003340497],"category_scores_gemma":[0.0002797353,0.00008337766,0.00003400737,0.0001223176,0.0001986753,0.000103663,0.00004084653,0.0002827213,0.00001218962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003131748,"about_ca_system_score_gemma":0.0004897279,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4933684,"about_ca_topic_score_gemma":0.9989808,"domain_scores_codex":[0.9982924,0.0006447188,0.0004759728,0.0001615313,0.00005990065,0.0003654421],"domain_scores_gemma":[0.9991112,0.000201428,0.0001539422,0.0001207277,0.00001480991,0.0003978533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001570282,0.000006323431,0.9953383,0.000005911621,0.000005695902,0.000008645538,0.0006293327,0.000003891116,0.0008144487,0.00005788633,0.00252819,0.0005856695],"study_design_scores_gemma":[0.0004884121,0.00005293401,0.8286884,0.000009279404,0.000006489157,0.00001829334,0.0002103359,5.859972e-7,0.0007710969,0.0002142017,0.1694279,0.0001120034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973206,0.00001779971,0.00003115652,0.002007087,0.0002357822,0.00007839962,0.0001009996,0.00000202969,0.0002061589],"genre_scores_gemma":[0.9987884,2.098867e-7,0.0001296089,0.0006682687,0.0000402043,0.000001306668,0.00006004184,0.00000656926,0.0003054023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5056123,"threshold_uncertainty_score":0.5100053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02043557026964241,"score_gpt":0.2343615792732777,"score_spread":0.2139260090036353,"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."}}