{"id":"W6980543794","doi":"","title":"Characterizing turbidity and identifying sediment sources in Norway House Cree Nation drinking water using sediment fingerprinting","year":2017,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Turbidity; Sediment; Sedimentation; Hydrology (agriculture); Channel (broadcasting); Water quality; Erosion; Drainage basin","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003763916,0.0002268056,0.0001989212,0.0009554615,0.0003939634,0.0005820742,0.0002377257,0.0001774051,0.0002553507],"category_scores_gemma":[0.0006096849,0.0001843648,0.0001905613,0.001050597,0.0002906166,0.0002017938,0.0002903305,0.0001103186,0.00008222635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00078761,"about_ca_system_score_gemma":0.0007249508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2318424,"about_ca_topic_score_gemma":0.4050453,"domain_scores_codex":[0.9997355,0.00002677946,0.00001847382,0.00006474178,0.0001128127,0.00004165057],"domain_scores_gemma":[0.9997922,0.00002914309,0.00006044841,0.00001007493,0.00009031196,0.0000179232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001828016,0.00005618502,0.9006549,0.00003363261,0.0000610166,0.0002970958,0.00124186,0.001416561,0.07291926,0.00005733521,0.00009151565,0.0229879],"study_design_scores_gemma":[0.000003373745,0.0000657722,0.9849868,0.000007451193,0.00002583122,0.000133109,0.0008643066,0.003396106,0.009987239,0.00002148613,0.0004954669,0.0000129549],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990141,0.00004210655,0.0006175386,0.000003955856,0.000001157045,0.000007551413,0.0000940352,0.000005009252,0.0002144267],"genre_scores_gemma":[0.9967245,0.00007087341,0.002624913,0.000009054128,0.000001046683,0.000007780281,0.0002141725,0.000004330716,0.0003432659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7681577,"threshold_uncertainty_score":0.4609857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02499841504244898,"score_gpt":0.2606524630712317,"score_spread":0.2356540480287827,"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."}}