{"id":"W2799279568","doi":"10.3390/rs10050720","title":"Mapping Arctic Bottomfast Sea Ice Using SAR Interferometry","year":2018,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bureau of Ocean Energy Management; National Science Foundation","keywords":"Sea ice; Geology; Arctic ice pack; Permafrost; Sea ice thickness; Cryosphere; Oceanography; Arctic; Antarctic sea ice; Sea ice concentration; Synthetic aperture radar; Remote sensing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000337989,0.0001927642,0.0002162158,0.0001789248,0.0004492999,0.00009063158,0.0001452378,0.00009243967,0.0003738911],"category_scores_gemma":[0.0001165746,0.0001790137,0.00007787665,0.0004913249,0.000241621,0.0002153819,0.00003494871,0.0002496658,0.0003925167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003199821,"about_ca_system_score_gemma":0.0000609881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004240804,"about_ca_topic_score_gemma":0.0003622745,"domain_scores_codex":[0.9985418,0.00007272639,0.0002660928,0.0003399876,0.0002615009,0.0005179108],"domain_scores_gemma":[0.9992218,0.0001404311,0.0001133755,0.0002653246,0.0001061888,0.0001528622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008270822,0.00001257225,0.06710345,0.0001585291,0.0001206192,0.0001768368,0.003111536,0.001180471,0.003050524,0.00001241546,0.00009234107,0.924898],"study_design_scores_gemma":[0.0001633218,0.00007339909,0.01437596,0.0002608481,0.00002437689,0.0005015456,0.00128371,0.9810671,0.0001555107,0.0005586146,0.001253661,0.0002819304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8996451,0.00005358212,0.09325649,0.000160335,0.000803321,0.00008394505,0.000006812229,0.00007749692,0.005912893],"genre_scores_gemma":[0.9258314,0.00001592821,0.07264625,0.0006309884,0.000714323,2.448851e-10,0.00002016121,0.00001055222,0.0001303845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9798867,"threshold_uncertainty_score":0.7299967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02276888906774155,"score_gpt":0.2337367834336947,"score_spread":0.2109678943659531,"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."}}