{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005371076,0.0008592178,0.0003879503,0.0007133938,0.001456412,0.00129143,0.001289828,0.0007282125,0.00119984],"category_scores_gemma":[0.001044646,0.0003747694,0.00081992,0.001147116,0.0006430881,0.0004473182,0.0005326434,0.000558295,0.0001091824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01299573,"about_ca_system_score_gemma":0.01082968,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9685024,"about_ca_topic_score_gemma":0.9725786,"domain_scores_codex":[0.9997912,0.00003541007,0.000008502365,0.00003832552,0.00004451875,0.00008207806],"domain_scores_gemma":[0.9996225,0.00007361521,0.00004049793,0.00001989127,0.0001600052,0.00008340392],"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":[0.000231841,0.0001057924,0.1346062,0.00005206807,0.0002178813,0.0002437354,0.0001306538,0.8554826,0.001840869,0.0008705905,0.001493572,0.004724173],"study_design_scores_gemma":[0.00009108298,0.00008945572,0.1409925,0.00003134793,0.0001113976,0.00003171524,0.0005875291,0.8544086,0.0007576418,0.0003617378,0.002479348,0.00005753891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949763,0.0001411594,0.0005045088,0.0002122237,0.00002122191,0.00001777441,0.001512417,0.00004896769,0.002565484],"genre_scores_gemma":[0.9975086,0.000104804,0.0007690932,0.00003442806,0.000004072884,0.00001073447,0.001011768,0.0000104244,0.0005460529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0314976,"threshold_uncertainty_score":0.09429103,"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."}}