{"id":"W4406113480","doi":"10.1002/hyp.70033","title":"Evaluation of the Hybrid Air2stream Model for Simulating Daily Stream Temperature During Extreme Summer Heat Wave and Autumn Drought Conditions","year":2025,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Calibration; Air temperature; STREAMS; Heat wave; Meteorology; Climatology; Climate change; Hydrology (agriculture); Geography; Statistics; Ecology; Computer science; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002994719,0.0001129993,0.0001414248,0.00001960011,0.0004895771,0.00001310148,0.0001067839,0.00006097879,0.0001193301],"category_scores_gemma":[0.0005545833,0.00007361608,0.00003372581,0.0001570227,0.0002931965,0.0001341811,0.0002375754,0.00008643018,0.000001556384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000448193,"about_ca_system_score_gemma":0.00002025027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007376642,"about_ca_topic_score_gemma":0.0003113955,"domain_scores_codex":[0.9991359,0.00005081694,0.0001683939,0.0002794155,0.0001931263,0.000172387],"domain_scores_gemma":[0.9996011,0.0001576298,0.00005377249,0.000120001,0.00004941375,0.00001813566],"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":[0.00008533805,0.0004351273,0.1583515,0.0004386764,0.0001611513,0.000001911898,0.0004493433,0.8250386,0.006221722,0.0005168879,0.007673527,0.0006262322],"study_design_scores_gemma":[0.00108833,0.00007764814,0.2001792,0.00005564478,0.0003453279,0.000001958537,0.000145043,0.7555094,0.005640693,0.03667814,0.0001092907,0.0001692227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932209,0.00009966919,0.0002102715,0.001339391,0.00003395846,0.0005661175,0.000022224,0.00002851725,0.004478966],"genre_scores_gemma":[0.998453,0.0000310791,0.0001206242,0.0004719772,0.000009901662,0.0001587046,0.00000950152,0.000003818699,0.000741414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06952912,"threshold_uncertainty_score":0.3765481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04276793470830649,"score_gpt":0.2754395042192289,"score_spread":0.2326715695109224,"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."}}