{"id":"W4366605699","doi":"10.1002/9781119828242.ch11","title":"Retrieval of Sea Ice Geophysical Parameters","year":2023,"lang":"ta","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":"Sea ice; Sea ice concentration; Snow; Sea ice thickness; Remote sensing; Geology; Radar; Drift ice; Meteorology; Arctic ice pack; Satellite; Climatology; Geography; Computer science","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":[0.00009268936,0.0003212083,0.0003128812,0.0005394575,0.0001539605,0.0008393252,0.0003336405,0.0002937563,0.003189615],"category_scores_gemma":[0.0004102345,0.0001686614,0.0002054791,0.000859348,0.00009785462,0.0006168555,0.0002573114,0.0002443805,0.003383772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002260452,"about_ca_system_score_gemma":0.0004773462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005778208,"about_ca_topic_score_gemma":0.006323137,"domain_scores_codex":[0.9999423,0.000005281689,0.000004373649,0.00001383984,0.00002350931,0.00001069493],"domain_scores_gemma":[0.9999447,0.000006314512,0.000004672113,0.00001121757,0.00002876766,0.000004379811],"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":[0.0002529242,0.0001062325,0.02463294,0.00033098,0.00007689888,0.0003371842,0.0002349588,0.09470481,0.2858817,0.008829681,0.02306393,0.5615478],"study_design_scores_gemma":[0.00008684477,0.0001006372,0.07309578,0.0001211497,0.00008420656,0.0004896957,0.000522918,0.6836492,0.1721018,0.00621133,0.06343042,0.0001060253],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.4316798,0.002678956,0.4705681,0.0003876455,0.0002337554,0.0001818493,0.02268603,0.007061287,0.0645225],"genre_scores_gemma":[0.7938132,0.002021059,0.1641078,0.0001230514,0.00007635388,0.0001006705,0.02265347,0.0004888254,0.01661547],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005778208,"threshold_uncertainty_score":0.01148909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562521031848109,"score_gpt":0.2190087090906504,"score_spread":0.2033834987721693,"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."}}