{"id":"W4415949099","doi":"10.5194/tc-19-5403-2025","title":"Modelling the impacts of historical and future extreme precipitation days on seasonal surface mass balance in the Eastern Canadian Arctic and Greenland","year":2025,"lang":"en","type":"article","venue":"The cryosphere","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Horizon 2020; Natural Sciences and Engineering Research Council of Canada","keywords":"Precipitation; Greenland ice sheet; Arctic; Ice sheet; Arctic ice pack; Sea ice; Climate change; Climate model","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":[0.0003658739,0.0001056886,0.0001107122,0.00001280891,0.000218536,0.00004355983,0.0001834984,0.00005605325,0.00004370955],"category_scores_gemma":[0.00001158577,0.00005362897,0.00002209282,0.0001604864,0.00008239375,0.00007272218,0.000007222665,0.0002244954,0.000002897788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003319225,"about_ca_system_score_gemma":0.0001103626,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1984102,"about_ca_topic_score_gemma":0.3298087,"domain_scores_codex":[0.9992062,0.0001240431,0.0001308821,0.0001539761,0.0001739561,0.0002109091],"domain_scores_gemma":[0.9993401,0.0003600681,0.00005253232,0.0001568221,0.00002730713,0.00006318092],"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":[0.00005113128,0.000005895477,0.9648684,0.0000377164,0.00001296462,0.000004513978,0.001933183,0.0259946,8.582078e-7,0.0003618774,0.0002100216,0.006518844],"study_design_scores_gemma":[0.0001742698,0.00004651865,0.4108936,0.00004919918,0.00002007824,0.000007481175,0.001488316,0.5819566,1.267849e-7,0.001855623,0.003438364,0.00006978377],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893474,0.00169667,0.00067706,0.006285252,0.0001931554,0.0002014024,0.00002807581,0.000004316742,0.001566696],"genre_scores_gemma":[0.9985198,0.0002769697,0.0002160937,0.0004820585,0.00007575212,8.063763e-7,0.00001154858,0.000002422906,0.0004145148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.555962,"threshold_uncertainty_score":0.8069276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194416624629095,"score_gpt":0.1928295469304044,"score_spread":0.1808853806841135,"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."}}