{"id":"W4403585570","doi":"10.1029/2024ef004962","title":"The Streamflow Response to Multi‐Day Warm Anomaly Events: Sensitivity to Future Warming and Spatiotemporal Variability by Event Magnitude","year":2024,"lang":"en","type":"article","venue":"Earth s Future","topic":"Climate variability and models","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anomaly (physics); Magnitude (astronomy); Environmental science; Streamflow; Climatology; Sensitivity (control systems); Event (particle physics); Climate change; Atmospheric sciences; Geology; Geography; Oceanography; Drainage basin","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":[0.003647698,0.0002715831,0.0002022238,0.00003467192,0.000408241,0.0001658021,0.000176022,0.0001605054,0.0002778269],"category_scores_gemma":[0.0002248384,0.0001967242,0.00009005989,0.0003531465,0.00008253426,0.0002450511,0.0003728637,0.0003417238,0.0002254694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001484715,"about_ca_system_score_gemma":0.00004481405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003238391,"about_ca_topic_score_gemma":0.001916546,"domain_scores_codex":[0.9973207,0.0007719029,0.0002856131,0.0007676422,0.0003946541,0.0004595373],"domain_scores_gemma":[0.9985668,0.0004946697,0.00003589997,0.0005465319,0.00001842703,0.0003376757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004348064,0.00144865,0.1407819,0.0004104443,0.0002777386,0.0003439643,0.04863013,0.0277773,0.2791359,0.0008087318,0.05344488,0.4425923],"study_design_scores_gemma":[0.0004527229,0.0002775699,0.3334384,0.00007608621,0.0000464344,0.00002357697,0.001135921,0.01953274,0.001606047,0.0003691101,0.6424028,0.0006385891],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726459,0.0001499011,0.006146933,0.018949,0.0008476318,0.000794813,0.0002291504,0.0001117288,0.0001249588],"genre_scores_gemma":[0.9942222,0.00003846,0.003645384,0.0006899834,0.0003569226,0.00003866068,0.00001848271,0.00002481365,0.0009651303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.588958,"threshold_uncertainty_score":0.8022179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006267983181291315,"score_gpt":0.2391694758589408,"score_spread":0.2329014926776495,"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."}}