{"id":"W2095703866","doi":"10.4236/jwarp.2014.66052","title":"Water Quality Index Assessment under Climate Change","year":2014,"lang":"en","type":"article","venue":"Journal of Water Resource and Protection","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Université de Moncton","funders":"","keywords":"Environmental science; Climate change; Water quality; Surface water; Biogeochemical cycle; Water resources; Ecosystem; Environmental resource management; Climatology; Hydrology (agriculture); Water resource management; Environmental 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000457983,0.0001866344,0.0002703951,0.0008819426,0.0003034472,0.000710053,0.0003438762,0.0001867859,0.0005706036],"category_scores_gemma":[0.0008609659,0.00008452998,0.0002918079,0.002096539,0.0002125188,0.0003528937,0.0003358992,0.0001702364,0.00009689377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003940021,"about_ca_system_score_gemma":0.002317937,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5693981,"about_ca_topic_score_gemma":0.650316,"domain_scores_codex":[0.9996886,0.00002856308,0.00001429202,0.00006256816,0.0001566586,0.0000493075],"domain_scores_gemma":[0.9996731,0.00003151099,0.00005218036,0.00002292148,0.0001983317,0.0000219775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001531703,0.00004390483,0.8070985,0.00006494179,0.0001557974,0.0000974546,0.0001847874,0.1266152,0.0124083,0.00089491,0.001287968,0.05099504],"study_design_scores_gemma":[0.00001101741,0.00005713562,0.858507,0.000008201961,0.00005022193,0.000037412,0.0002602866,0.1314794,0.005270387,0.000652762,0.003637324,0.00002893422],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804637,0.0002320773,0.008171558,0.00007830762,0.00000773986,0.00006661231,0.004846724,0.0001420053,0.005991433],"genre_scores_gemma":[0.9950553,0.00009554834,0.002281824,0.000008290524,0.00000159269,0.00001589094,0.001956545,0.000009495639,0.0005755454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5693981,"threshold_uncertainty_score":0.8662756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05039157342196481,"score_gpt":0.3016311493645483,"score_spread":0.2512395759425835,"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."}}