{"id":"W4415778988","doi":"10.1017/jog.2025.10092","title":"Ice sheet mass flow and balance with constituent terms 2010–19","year":2025,"lang":"en","type":"article","venue":"Journal of Glaciology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"California Institute of Technology; Jet Propulsion Laboratory; National Aeronautics and Space Administration","keywords":"Ice stream; Ice sheet; Ice-sheet model; Greenland ice sheet; Future sea level; Antarctic ice sheet; Ice shelf; Antarctic sea ice; Sea ice; Cryosphere","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0003405857,0.0005953909,0.0002149619,0.001828378,0.0002486799,0.001022075,0.00028128,0.0001999137,0.005700008],"category_scores_gemma":[0.001072221,0.0001556452,0.0005805762,0.002403185,0.0002945954,0.0008304735,0.0004939333,0.0004163992,0.001511015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001313764,"about_ca_system_score_gemma":0.0006008361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02643052,"about_ca_topic_score_gemma":0.02401621,"domain_scores_codex":[0.9998127,0.00002074228,0.00001892264,0.00003045312,0.00009696792,0.00002017983],"domain_scores_gemma":[0.999667,0.00004002694,0.00008455387,0.00003179006,0.0001572107,0.00001938201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000696062,0.0001990276,0.4857826,0.0008224156,0.00131648,0.000352588,0.0006566375,0.134921,0.01084775,0.03217683,0.1242548,0.2079739],"study_design_scores_gemma":[0.00004321614,0.00008604782,0.7144905,0.0001800135,0.0001945696,0.0002345835,0.000268887,0.05316074,0.003389907,0.01061132,0.2172498,0.00009052546],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6817678,0.003049918,0.01753198,0.001133063,0.0008768411,0.0001279798,0.1378579,0.002014237,0.1556402],"genre_scores_gemma":[0.8898174,0.001183409,0.009261412,0.0002925852,0.00028711,0.0001572075,0.07389866,0.0005558585,0.02454633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02643052,"threshold_uncertainty_score":0.05255336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076909619965094,"score_gpt":0.2167510597701481,"score_spread":0.2059819635704972,"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."}}