{"id":"W2078283573","doi":"10.1016/j.watres.2011.04.032","title":"Modelling sediment-microbial dynamics in the South Nation River, Ontario, Canada: Towards the prediction of aquatic and human health risk","year":2011,"lang":"en","type":"article","venue":"Water Research","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; Environment and Climate Change Canada","funders":"","keywords":"Sediment; Environmental science; Human health; Aquatic ecosystem; Hydrology (agriculture); Geography; Ecology; Water resource management; Environmental health; Geology; Biology; Geomorphology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002815616,0.00005451889,0.00007269857,0.00003222656,0.0002743437,0.00002036302,0.0001804589,0.00002773783,0.000144537],"category_scores_gemma":[0.00001057626,0.00002894165,0.00001347967,0.00009765524,0.0001918579,0.00007702428,0.0001188455,0.0002847864,0.000003863169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009491533,"about_ca_system_score_gemma":0.0000859508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9930999,"about_ca_topic_score_gemma":0.9849847,"domain_scores_codex":[0.9982377,0.000652108,0.0001989112,0.0001567453,0.0005265543,0.0002280311],"domain_scores_gemma":[0.9997305,0.00001672385,0.00003800976,0.0001611913,0.0000169746,0.00003660683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000753362,0.000292476,0.569565,0.0000673475,0.00002721328,0.00000733053,0.4199303,0.002627939,0.0009190844,0.001506814,0.0009309015,0.004050231],"study_design_scores_gemma":[0.001208209,0.0004009416,0.7839667,0.00004576397,0.00001483513,0.000004686916,0.01105838,0.1893029,0.006568856,0.005995179,0.001235572,0.0001980155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973862,0.00000499412,0.0006302602,0.0005628618,0.00003094783,0.0002818698,0.00001541019,0.000002928599,0.001084482],"genre_scores_gemma":[0.9994505,0.000004304453,0.0000749332,0.00006681821,0.00000798321,0.00001032584,0.00002861352,0.000003641989,0.0003528674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4088719,"threshold_uncertainty_score":0.2482003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1261136276079447,"score_gpt":0.2917414253789289,"score_spread":0.1656277977709842,"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."}}