{"id":"W4366605774","doi":"10.1002/9781119828242.ch10","title":"Retrieval of Sea Ice Surface Information","year":2023,"lang":"en","type":"other","venue":"","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Environment and Climate Change Canada","funders":"","keywords":"Geology; Sea ice; Snow; Rubble; Deformation (meteorology); Remote sensing; Frost (temperature); Sea ice thickness; Surface (topology); Meteorology; Arctic ice pack; Climatology; Geomorphology; Oceanography; Geotechnical engineering; Geography; Geometry","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":[0.0001122782,0.0004605252,0.0003809787,0.000861084,0.0002379847,0.001024283,0.0003285824,0.0003101264,0.005610505],"category_scores_gemma":[0.0002832586,0.0001675024,0.0002515758,0.00109065,0.00008573944,0.0007806341,0.0004166537,0.0002705037,0.005388691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003269883,"about_ca_system_score_gemma":0.0004198758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004423044,"about_ca_topic_score_gemma":0.005137154,"domain_scores_codex":[0.9999269,0.000004031207,0.000003610038,0.00001184349,0.00003894174,0.00001462364],"domain_scores_gemma":[0.9999471,0.000005776653,0.000003092199,0.000009353971,0.00003050768,0.000004190534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000194343,0.00005605369,0.005890826,0.0003437991,0.00006058589,0.0003288422,0.0001618568,0.04322203,0.2326025,0.004877978,0.02311355,0.6891476],"study_design_scores_gemma":[0.00005616862,0.0000955878,0.02952189,0.0001263785,0.00009183353,0.0004963018,0.0004059849,0.6025291,0.2107365,0.006223975,0.1496029,0.0001134103],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2823485,0.006982623,0.5210813,0.0006462213,0.0005158665,0.000303236,0.03413825,0.01235002,0.1416339],"genre_scores_gemma":[0.6723556,0.006228792,0.2338941,0.0002240635,0.000244912,0.0001764191,0.03774035,0.0008955494,0.04824021],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005610505,"threshold_uncertainty_score":0.01876897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008252734429306803,"score_gpt":0.1994257092505746,"score_spread":0.1911729748212678,"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."}}