{"id":"W3211611853","doi":"10.32920/ryerson.14652693.v1","title":"Identifying the Potential Sources of Contaminants to the Welland Canal, the Major Source of Drinking Water in the Niagara Region","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Environmental science; Effluent; Contamination; Environmental engineering; Raw water; Pollutant; Surface runoff; Water source; Water resource management; Hydrology (agriculture); Engineering; Ecology","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":[0.002197276,0.0002032418,0.0002586881,0.00003311838,0.0003394013,0.0001806164,0.001432651,0.0001025852,0.0004924264],"category_scores_gemma":[0.00001742564,0.00007066679,0.0001740053,0.0001492402,0.0003273136,0.0000534621,0.001685066,0.0004588314,0.00002740097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007399044,"about_ca_system_score_gemma":0.00002473901,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04246623,"about_ca_topic_score_gemma":0.03086884,"domain_scores_codex":[0.9971057,0.0009816041,0.0005337722,0.0003383682,0.0007312258,0.000309284],"domain_scores_gemma":[0.9986932,0.0001357968,0.0002483025,0.000875274,0.00001589014,0.0000315666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002320563,0.0006548683,0.182878,0.0004847365,0.0007116509,0.0001221609,0.5543313,0.2094093,0.02181902,0.0009476723,0.0175779,0.01083132],"study_design_scores_gemma":[0.001116079,0.0001160851,0.738536,0.0008078992,0.0005156911,0.0001593421,0.1159804,0.003063851,0.08558184,0.002320018,0.05082749,0.0009753417],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767601,0.00009399338,0.005005364,0.01615807,0.0002817407,0.0006700355,0.000004542779,0.000007084071,0.001019004],"genre_scores_gemma":[0.9965007,0.00004697056,0.00004896739,0.001279056,0.00007347475,0.00004278978,0.000007886217,0.00001064885,0.001989472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.555658,"threshold_uncertainty_score":0.9868153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03233365161908194,"score_gpt":0.2702065720288424,"score_spread":0.2378729204097605,"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."}}