{"id":"W2935557676","doi":"10.3808/jei.201900407","title":"Water Quality Management of a Cold Climate Region Watershed in Changing Climate","year":2019,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"Alberta Innovates","keywords":"Environmental science; Soil and Water Assessment Tool; Watershed; Climate change; SWAT model; Water quality; Streamflow; Hydrology (agriculture); Water resources; Drainage basin; Ecology; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001284374,0.000163199,0.0003468749,0.0001943234,0.0000719877,0.00001154707,0.0002498975,0.0000663324,0.0004331433],"category_scores_gemma":[0.000001249582,0.0001143039,0.0001095067,0.0001127707,0.0001357486,0.0006218082,0.0007425171,0.0001722969,0.0003865683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001514888,"about_ca_system_score_gemma":7.626853e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000410677,"about_ca_topic_score_gemma":0.000001607815,"domain_scores_codex":[0.9978924,0.00005323021,0.001055015,0.00009066378,0.0003812241,0.0005274729],"domain_scores_gemma":[0.9992397,0.00001790903,0.0004831318,0.0002041898,0.00000209633,0.00005297022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005260766,0.0005699488,0.9522748,0.0008664848,0.0002598753,0.0001124148,0.01621573,0.01816451,0.008116451,0.0008442076,0.0002496208,0.00179985],"study_design_scores_gemma":[0.01426171,0.002176652,0.8319163,0.000983677,0.000419994,0.0001887947,0.04696506,0.005044008,0.06010488,0.0008139112,0.03535864,0.001766325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915212,0.0000161674,0.00009697657,0.0001550456,0.0001402425,0.0002652066,0.000004899524,0.000005428146,0.007794817],"genre_scores_gemma":[0.9978447,0.0008138745,0.0007762832,0.0002792838,0.000009153126,0.000003747962,0.000005609485,0.000009417809,0.0002579302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1203585,"threshold_uncertainty_score":0.4968682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0114889443619885,"score_gpt":0.226588672083291,"score_spread":0.2150997277213025,"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."}}