{"id":"W113702897","doi":"10.1023/a:1025573108513","title":"Water Quality Evaluation and Trend Analysis in Selected Watersheds of the Atlantic Region of Canada","year":2003,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":193,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; Memorial University of Newfoundland","funders":"","keywords":"Water quality; Environmental science; Trend analysis; STREAMS; Hydrology (agriculture); Index (typography); Agriculture; Quality (philosophy); Environmental quality; Statistics; Geography; Mathematics; Computer science; Ecology; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004856449,0.0001548076,0.0002410532,0.00169558,0.001048243,0.001064918,0.0005716431,0.0002166159,0.0005013248],"category_scores_gemma":[0.001319626,0.0001350292,0.0001891485,0.00405588,0.0004837679,0.0003288902,0.0003579751,0.0002458594,0.00007116672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01378551,"about_ca_system_score_gemma":0.01279366,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9875699,"about_ca_topic_score_gemma":0.9943388,"domain_scores_codex":[0.999652,0.00002431822,0.00002306378,0.00005844083,0.0001631377,0.00007891466],"domain_scores_gemma":[0.9986364,0.00009541093,0.0001363384,0.00003130503,0.0009798744,0.0001206213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000105195,0.0000646606,0.9731957,0.0000209392,0.0000525289,0.00008047279,0.0007652323,0.00148882,0.001598467,0.0001872887,0.0007464656,0.02169424],"study_design_scores_gemma":[0.000005333859,0.00001304031,0.9939161,0.000004146355,0.00001925897,0.00001790828,0.0009341376,0.003653666,0.000468415,0.00003976063,0.0009218446,0.000006463129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978594,0.0001057583,0.0002780977,0.00007691953,0.000002326781,0.00001599226,0.0007289147,0.00001737751,0.0009150585],"genre_scores_gemma":[0.9966546,0.0001605543,0.0007005448,0.00001488129,0.000001489054,0.000008752523,0.0009842004,0.000006022426,0.001468884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01378551,"threshold_uncertainty_score":0.1000214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02281181758353415,"score_gpt":0.2805608864119929,"score_spread":0.2577490688284588,"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."}}