{"id":"W4283399267","doi":"10.3390/w14131994","title":"Temperature Modeling, a Key to Assessing Impact on Rivers Due to Urbanization and Climate Change","year":2022,"lang":"en","type":"article","venue":"Water","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Credit Valley Hospital; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Urbanization; Environmental science; Climate change; Hydrology (agriculture); Land use, land-use change and forestry; Current (fluid); Water quality; STREAMS; Land use; Watershed; Agricultural land; Ecology; 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":[0.001168578,0.0006401278,0.0007401468,0.000511604,0.0009420956,0.001948119,0.00112517,0.0008076794,0.001806022],"category_scores_gemma":[0.004124133,0.0005394686,0.0007150958,0.001138742,0.0005844749,0.002117355,0.0009350771,0.001152478,0.0004940288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002137916,"about_ca_system_score_gemma":0.003195369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0852906,"about_ca_topic_score_gemma":0.1332945,"domain_scores_codex":[0.9993575,0.000159026,0.00006524193,0.0001470505,0.0002295038,0.00004173067],"domain_scores_gemma":[0.998841,0.0003302069,0.0001891029,0.0001723277,0.0004165665,0.00005096629],"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":[0.00007209566,0.00004965754,0.06237082,0.0004126721,0.0001464047,0.000141658,0.0003226808,0.8203856,0.01089673,0.01540735,0.007730094,0.0820642],"study_design_scores_gemma":[0.0000171668,0.0000955229,0.03367094,0.0001722764,0.0001108087,0.0001137986,0.0005322715,0.8953903,0.006940894,0.0195327,0.04330907,0.0001143253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1172916,0.003954095,0.8286816,0.004532938,0.0003926429,0.0004004434,0.004387466,0.003466388,0.03689279],"genre_scores_gemma":[0.8469011,0.004793056,0.1369644,0.0002704424,0.0001887761,0.0002969898,0.002102203,0.0005653129,0.007917686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0852906,"threshold_uncertainty_score":0.1695883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310276669667221,"score_gpt":0.2360999548303482,"score_spread":0.222997188133676,"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."}}