{"id":"W2627076408","doi":"10.5194/tc-11-2571-2017","title":"Intercomparison of snow depth retrievals over Arctic sea ice from radar data acquired by Operation IceBridge","year":2017,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Toronto","funders":"Office of Naval Research; National Oceanic and Atmospheric Administration; California Institute of Technology; Jet Propulsion Laboratory; National Aeronautics and Space Administration","keywords":"Snow; Arctic; Sea ice; Environmental science; Meteorology; Radar; Climatology; Cryosphere; Climate change; Remote sensing; Arctic ice pack; Geology; Oceanography; Computer science; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004853433,0.0002070833,0.0003081675,0.000009855031,0.0005929919,0.0002451927,0.001758333,0.000112678,0.003443155],"category_scores_gemma":[0.000151523,0.0001481896,0.00006500416,0.00006775273,0.0002926999,0.0008126529,0.0001845333,0.0001976611,0.0002152186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001245393,"about_ca_system_score_gemma":0.00008554385,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0586677,"about_ca_topic_score_gemma":0.03965798,"domain_scores_codex":[0.9983336,0.00012891,0.0003654995,0.0004451203,0.0004119947,0.0003148461],"domain_scores_gemma":[0.9974803,0.0003315002,0.0003574691,0.001659211,0.00005900685,0.0001125668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002134017,0.00005703198,0.9098358,0.00004091154,0.0001376272,0.000008513432,0.0005656433,0.0001859149,0.0001535597,0.00003302506,0.02368679,0.06508174],"study_design_scores_gemma":[0.0007117046,0.0001124045,0.8451715,0.0001119105,0.0001373268,0.000009289603,0.0006102601,0.1361536,0.0001691,0.0003843112,0.01611865,0.0003098801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856226,0.0007981793,0.005548127,0.0008984221,0.0008800433,0.0003535843,0.001842662,0.00004038588,0.004015947],"genre_scores_gemma":[0.9954078,0.0001436771,0.001136128,0.000367165,0.0002276487,7.090506e-7,0.001861518,0.00001012264,0.0008452946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1359677,"threshold_uncertainty_score":0.9974678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02945985510065613,"score_gpt":0.2616539694368024,"score_spread":0.2321941143361462,"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."}}