{"id":"W2741339707","doi":"10.4236/nr.2017.88032","title":"Characterization and Modeling of Urban Water Quality in the City of Calgary, Canada","year":2017,"lang":"en","type":"article","venue":"Natural Resources","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Environmental science; Baseflow; Water quality; Surface runoff; Pollutant; Snowmelt; Stormwater; Hydrology (agriculture); Pollution; Land use; Point source pollution; Nonpoint source pollution; Urban runoff; Water resource management; Streamflow; Drainage basin; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002655815,0.00004809327,0.00007775622,0.00001235796,0.0001271225,0.00001716927,0.0002611824,0.00001946519,0.00003051996],"category_scores_gemma":[0.00003698459,0.00002787283,0.00001256679,0.00002301899,0.000112561,0.0001329453,0.0001700315,0.00006925686,5.469778e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004201162,"about_ca_system_score_gemma":0.000003075852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.56499,"about_ca_topic_score_gemma":0.3754076,"domain_scores_codex":[0.9993849,0.00004373949,0.0001435785,0.00009909369,0.000227321,0.0001013383],"domain_scores_gemma":[0.9996715,0.00001419623,0.00007804826,0.0002175196,0.000004983818,0.00001375992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001766954,0.00001701156,0.964558,0.00001605677,0.000005519886,0.000001058639,0.003135165,0.0001027568,0.03098296,0.00007281119,0.00006336971,0.001027623],"study_design_scores_gemma":[0.00009190742,0.000005383884,0.989306,0.000006038274,0.000004415223,2.236951e-7,0.00007701766,0.007384613,0.001329321,0.00003330049,0.001717526,0.00004429156],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981232,0.00001946385,0.00005272216,0.0003204359,0.00003231124,0.0000895333,0.000003862301,0.000002234694,0.001356211],"genre_scores_gemma":[0.999598,0.000002750526,0.00002878949,0.00005365444,0.000007782021,0.000002129559,0.00000637693,0.000001979799,0.0002984865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1895824,"threshold_uncertainty_score":0.6359895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02359248618479269,"score_gpt":0.2421286409097229,"score_spread":0.2185361547249302,"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."}}