{"id":"W2953791169","doi":"10.1029/2018wr024236","title":"Empirical Stream Thermal Sensitivities May Underestimate Stream Temperature Response to Climate Warming","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; Natural Resources Canada; University of British Columbia; Canadian Forest Service","funders":"Natural Sciences and Engineering Research Council of Canada; University of Victoria","keywords":"Environmental science; Climate change; STREAMS; Global warming; Hydrology (agriculture); Ecosystem; Groundwater; Surface runoff; Precipitation; Climatology; Ecology; Meteorology; Geology; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002061992,0.0003498377,0.0002591988,0.0004599576,0.0002174482,0.0008500916,0.0005145744,0.0004698775,0.001191691],"category_scores_gemma":[0.01049077,0.0003472677,0.0003574557,0.0004132905,0.0003671175,0.001409401,0.0005210455,0.0004868393,0.0001791983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007521359,"about_ca_system_score_gemma":0.000551602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01170476,"about_ca_topic_score_gemma":0.01294108,"domain_scores_codex":[0.9991583,0.0004550185,0.00007181212,0.0001555864,0.0001017047,0.00005755921],"domain_scores_gemma":[0.9962409,0.002276686,0.0005949253,0.000422985,0.0003866198,0.00007808568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00007788918,0.0001025832,0.3080235,0.00006806845,0.0002365596,0.00005279754,0.0001328012,0.6722683,0.003155213,0.00140814,0.0006399365,0.01383416],"study_design_scores_gemma":[0.00001422016,0.0000282143,0.09648779,0.00001978154,0.00002631174,0.00003931546,0.00006842001,0.8991963,0.001697937,0.001840467,0.0005631463,0.00001818769],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669621,0.0001367075,0.02916555,0.0002421857,0.00001975591,0.00002778282,0.0004528346,0.0002428789,0.002750273],"genre_scores_gemma":[0.9979057,0.00003925713,0.001692314,0.00004652878,0.000004775191,0.00001034122,0.0001299427,0.00001597467,0.0001552515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01170476,"threshold_uncertainty_score":0.02327323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03289020418970034,"score_gpt":0.3235043849390333,"score_spread":0.2906141807493329,"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."}}