{"id":"W4392758596","doi":"10.5194/egusphere-egu24-13873","title":"Yukon River discharge  temperature from 2017 – 2020 may be influenced by late summer headwaters flux and water vapor forcing, rather than decadal scale air temperature patterns over this time period","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forcing (mathematics); Environmental science; Climatology; Flux (metallurgy); Scale (ratio); Atmospheric sciences; Air temperature; Water vapor; Hydrology (agriculture); Meteorology; Geography; Geology; Materials science","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":[0.0002114972,0.0001708899,0.0001824753,0.0003944675,0.0005051765,0.001021869,0.0003386159,0.0003238416,0.007517045],"category_scores_gemma":[0.0006618151,0.00017481,0.0002537211,0.001225677,0.0003516937,0.0006347779,0.0006061185,0.0005344435,0.001569702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001654226,"about_ca_system_score_gemma":0.00233149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2264893,"about_ca_topic_score_gemma":0.5162029,"domain_scores_codex":[0.9998073,0.00001458269,0.00002311815,0.00006031722,0.00004855026,0.00004624721],"domain_scores_gemma":[0.9995337,0.00003178776,0.00007880146,0.00004776042,0.0002692712,0.00003876006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002725306,0.00007851577,0.80277,0.0004318812,0.0001795594,0.000368869,0.0007556399,0.00426608,0.003286979,0.003267811,0.1199009,0.06442123],"study_design_scores_gemma":[0.00001402975,0.00002860458,0.9351895,0.00007370998,0.00003493454,0.00005474256,0.0008552555,0.004245448,0.001488271,0.0005151877,0.05746057,0.00003962531],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7677554,0.0006780223,0.002872388,0.002584036,0.0007562666,0.00009465155,0.1812856,0.0006607305,0.04331276],"genre_scores_gemma":[0.9112839,0.0004232881,0.001234424,0.0003750031,0.00005139015,0.00007794221,0.07320492,0.0001580775,0.01319101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2264893,"threshold_uncertainty_score":0.4503419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008059403188690672,"score_gpt":0.2226681742632304,"score_spread":0.2146087710745397,"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."}}