{"id":"W1969179982","doi":"10.4296/cwrj2502153","title":"Climate Change Impacts on the Hydrology of the Great Lakes-St. Lawrence System","year":2000,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Environmental science; Surface runoff; Evapotranspiration; Precipitation; Greenhouse gas; Drainage basin; Global warming; Water resources; Effects of global warming; Climate model; Hydrology (agriculture); Hydrological modelling; Climatology; Geography; Meteorology; Oceanography; Ecology; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0001845155,0.00008476916,0.00005737195,0.0004430457,0.0003032193,0.0008714944,0.0001918251,0.0001233888,0.001753043],"category_scores_gemma":[0.0004678337,0.00007075482,0.0001034912,0.0008776928,0.0003241934,0.0002649558,0.0004033494,0.0001586993,0.0001305333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003335854,"about_ca_system_score_gemma":0.002028092,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5388573,"about_ca_topic_score_gemma":0.6842346,"domain_scores_codex":[0.9998667,0.0000320425,0.000006305246,0.00002013296,0.00004081836,0.00003394657],"domain_scores_gemma":[0.9997106,0.00003602251,0.00008081654,0.00001189245,0.0001122056,0.00004836912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001192839,0.0000425696,0.9287528,0.0001810626,0.0001959816,0.0007572784,0.002065797,0.01274258,0.004475663,0.00361247,0.008898654,0.03815572],"study_design_scores_gemma":[0.000005483033,0.00001892403,0.9774571,0.00001841545,0.00001569497,0.00005793743,0.0008594028,0.003504471,0.0006556927,0.0002714736,0.01712283,0.00001265224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871215,0.0007432614,0.0001661632,0.001376785,0.00001024077,0.00000742863,0.001767326,0.00004939621,0.008757833],"genre_scores_gemma":[0.9974449,0.0003302499,0.0001077959,0.00004531767,0.000005895824,0.000003856464,0.0003740678,0.000003616447,0.001684292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4611427,"threshold_uncertainty_score":0.927717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01572356886894133,"score_gpt":0.189767609132364,"score_spread":0.1740440402634227,"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."}}