{"id":"W2152469935","doi":"10.1111/j.1752-1688.2007.00034.x","title":"Stream Temperature Surges Under Urbanization and Climate Change: Data, Models, and Responses<sup>1</sup>","year":2007,"lang":"en","type":"article","venue":"JAWRA Journal of the American Water Resources Association","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":304,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Riparian zone; Climate change; STREAMS; Urbanization; Hydrology (agriculture); Biota; Siltation; Representative Concentration Pathways; Watershed; Global warming; Surge; Ecology; Habitat; Climate model; Geography; Geology; Sediment","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0009879542,0.0003308932,0.0001909708,0.0003810721,0.0002613612,0.0006242581,0.0005684223,0.0005065625,0.002893466],"category_scores_gemma":[0.002395876,0.0001833722,0.0004355127,0.0008723019,0.0002451782,0.0004932059,0.000293912,0.0003889235,0.000871027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029492,"about_ca_system_score_gemma":0.0004313202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02691146,"about_ca_topic_score_gemma":0.02708387,"domain_scores_codex":[0.999774,0.00007437544,0.0000198798,0.00005187956,0.00003998983,0.00003977197],"domain_scores_gemma":[0.9986198,0.0007436888,0.0001855065,0.0001197573,0.0002494051,0.00008190203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005683695,0.000475933,0.7250597,0.00009618678,0.0001411463,0.0001688145,0.0001881156,0.2425927,0.001304824,0.0006215514,0.006449389,0.02233334],"study_design_scores_gemma":[0.00007654053,0.0001360071,0.3908572,0.00001980366,0.00006280388,0.0001056636,0.0001854666,0.6046442,0.001463247,0.0007180607,0.001703503,0.00002743437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945775,0.00005476677,0.001278711,0.0001574155,0.00001189545,0.00002325025,0.00252633,0.0001478959,0.001222276],"genre_scores_gemma":[0.9947168,0.00004765803,0.000830544,0.00001112292,0.00001580386,0.0000270413,0.00403366,0.00001421136,0.0003031347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02691146,"threshold_uncertainty_score":0.05350965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482011035884121,"score_gpt":0.2341614308897642,"score_spread":0.219341320530923,"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."}}