{"id":"W4408217391","doi":"10.22541/essoar.174120423.33438965/v1","title":"Climate and flow management interact to impact reservoir water quality    ","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Global Water Futures; Canada First Research Excellence Fund; University of Saskatchewan","keywords":"Quality (philosophy); Business; Flow (mathematics); Environmental science; Climate change; Petroleum engineering; Water quality; Environmental planning; Environmental resource management; Water resource management; Natural resource economics; Environmental economics; Geology; Mechanics; Economics; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0004455069,0.0002781861,0.0002478623,0.0003007755,0.0002205992,0.000721195,0.0001838885,0.0003173862,0.001077675],"category_scores_gemma":[0.001242705,0.0002433117,0.0004193865,0.0003831644,0.0003202387,0.0005140929,0.0005728195,0.0002083305,0.00007953242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005424023,"about_ca_system_score_gemma":0.0004266737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008549381,"about_ca_topic_score_gemma":0.01143627,"domain_scores_codex":[0.9997486,0.00009445526,0.00001675151,0.00004431139,0.00003444004,0.00006135651],"domain_scores_gemma":[0.9995959,0.0001749083,0.000118763,0.00002830681,0.00003619926,0.00004588317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001594948,0.0002116185,0.6675627,0.00007472769,0.0003444548,0.0004199924,0.0001313557,0.2733469,0.03206545,0.00164599,0.0007267282,0.02331049],"study_design_scores_gemma":[0.00001867385,0.000133183,0.6510735,0.000007832512,0.0001149015,0.00009203785,0.0001516729,0.3425731,0.003513678,0.001328869,0.0009496503,0.00004298853],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958977,0.00005830609,0.002651641,0.0001095072,0.000005309966,0.000007921468,0.0002120428,0.00003990965,0.001017687],"genre_scores_gemma":[0.9992667,0.00002893875,0.0004130157,0.00001140978,0.000001865163,0.000002987458,0.00007068488,0.000006185394,0.0001980929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008549381,"threshold_uncertainty_score":0.01699924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636374044730908,"score_gpt":0.2853899376179633,"score_spread":0.2690261971706542,"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."}}