{"id":"W1899036001","doi":"10.1139/l11-112","title":"Hydrologic modelling to assess the climate change impacts in a Southern Ontario watershed","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Environmental Restoration and Conservation Agency","keywords":"Watershed; Climate change; Environmental science; Hydrology (agriculture); Downscaling; Hydrological modelling; Low-impact development; Water resource management; Climatology; Surface runoff; Stormwater management; Geology; Stormwater; Computer science; Geotechnical engineering; Ecology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002187771,0.0002656871,0.0001574471,0.0004768324,0.001026825,0.000783873,0.0005251572,0.0002599088,0.001384179],"category_scores_gemma":[0.0008035084,0.0001624322,0.00026556,0.001212762,0.0003758106,0.0002834371,0.0002841921,0.0002013036,0.0001077645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0203617,"about_ca_system_score_gemma":0.01322659,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9830304,"about_ca_topic_score_gemma":0.9891666,"domain_scores_codex":[0.9998432,0.00002079138,0.000006870093,0.00002320548,0.00006208918,0.00004377282],"domain_scores_gemma":[0.9997786,0.00003942879,0.00002570279,0.00001053198,0.0001088372,0.00003689727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002068239,0.0001689083,0.3805261,0.0001030129,0.0001194768,0.0005713385,0.0009352572,0.5855441,0.005356654,0.002883027,0.003934691,0.01965054],"study_design_scores_gemma":[0.00009687622,0.00007122254,0.3930071,0.00002623341,0.00006687268,0.00005220078,0.001351938,0.5940037,0.001365829,0.0007359528,0.009185933,0.00003605248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894106,0.0000609006,0.0007845002,0.0001455047,0.000002887266,0.00006249638,0.001100749,0.00005818718,0.008374277],"genre_scores_gemma":[0.9956297,0.00009671124,0.001283517,0.00001149008,0.000001696023,0.00002837446,0.0006226358,0.000007650624,0.00231831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0203617,"threshold_uncertainty_score":0.1477352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03388265614032476,"score_gpt":0.2014963608288958,"score_spread":0.167613704688571,"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."}}