{"id":"W6992979126","doi":"","title":"Monitoring water quality for recreational use in nearshore waters of Eastern Georgian Bay","year":2023,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bay; Water quality; Recreation; Benthic zone; Hydrology (agriculture); Water column; Nutrient; Georgian","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003398191,0.0002172211,0.0001936961,0.0006431996,0.0006514011,0.0004306004,0.0004183713,0.0002980252,0.000620692],"category_scores_gemma":[0.0004485997,0.0001271679,0.0001731399,0.001126593,0.0002665272,0.0002638134,0.0005298965,0.0002278334,0.0002141577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008670415,"about_ca_system_score_gemma":0.001155299,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07906966,"about_ca_topic_score_gemma":0.3285894,"domain_scores_codex":[0.9997841,0.00004714059,0.00001309837,0.00005762026,0.00007023243,0.00002793696],"domain_scores_gemma":[0.9996533,0.00003247572,0.0001203735,0.00001924064,0.0001129868,0.00006164784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008116287,0.00007656322,0.9613683,0.00007465432,0.00003854903,0.0003292304,0.001901549,0.0003974539,0.0130072,0.00005597608,0.0009462681,0.02172324],"study_design_scores_gemma":[0.000001715564,0.00004124307,0.9975006,0.00001517754,0.000006467166,0.00004262155,0.0009247406,0.0003625396,0.0003716616,0.00001644044,0.0007120121,0.000004748295],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980924,0.00006292211,0.0001517409,0.00007917464,0.000004220788,0.00002921031,0.0003338247,0.00001318565,0.001233391],"genre_scores_gemma":[0.9959059,0.0001849485,0.002250103,0.00009488191,0.000004886383,0.00004738347,0.0005538617,0.000004958804,0.0009531493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9209303,"threshold_uncertainty_score":0.1572189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0539703685566983,"score_gpt":0.2792646021609304,"score_spread":0.2252942336042321,"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."}}