{"id":"W4205717678","doi":"10.4236/ajcc.2021.104024","title":"Investigation of Long-Term Climate and Streamflow Patterns in Ontario","year":2021,"lang":"en","type":"article","venue":"American Journal of Climate Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Streamflow; Baseflow; Snowmelt; Precipitation; Climate change; Environmental science; Surface runoff; Climatology; Snow; Geography; Physical geography; Drainage basin; Hydrology (agriculture); Meteorology; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000161497,0.0001504836,0.0001923535,0.0007293021,0.001487317,0.0006009263,0.0003816498,0.0001669354,0.0009104238],"category_scores_gemma":[0.0005657559,0.000139946,0.0002367822,0.002505926,0.0003463043,0.0002412438,0.000418737,0.0001765945,0.0001198815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0117522,"about_ca_system_score_gemma":0.01177813,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9679338,"about_ca_topic_score_gemma":0.9907604,"domain_scores_codex":[0.9998091,0.000009338633,0.00001017599,0.00004200328,0.00007367657,0.00005576254],"domain_scores_gemma":[0.9994885,0.00002764452,0.0001048619,0.00001826658,0.0002655744,0.00009518919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007782668,0.00003878284,0.9824772,0.00004578731,0.00003716898,0.0003135195,0.003061195,0.0003551741,0.002682925,0.0001468422,0.0008920394,0.009871604],"study_design_scores_gemma":[0.00000152941,0.000009677155,0.9973527,0.000004739435,0.000006071133,0.00002145429,0.0009564983,0.0002436627,0.00008329085,0.00001287635,0.001303885,0.000003609208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961246,0.00008001878,0.0001026362,0.00006791656,0.000002677114,0.00001943446,0.001380928,0.00000824415,0.002213587],"genre_scores_gemma":[0.9959875,0.0001912955,0.0002626991,0.00002838379,0.000003369327,0.00002312146,0.00128726,0.000004327382,0.002212213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03206617,"threshold_uncertainty_score":0.08526862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02857594240205534,"score_gpt":0.2400580650846034,"score_spread":0.2114821226825481,"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."}}