{"id":"W4385949792","doi":"10.3390/rs15164065","title":"Satellite-Based Identification and Characterization of Extreme Ice Features: Hummocks and Ice Islands","year":2023,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre For Cold Ocean Resources Engineering","funders":"Canadian Space Agency; Deutsches Zentrum für Luft- und Raumfahrt","keywords":"Remote sensing; Sea ice; Geology; Interferometric synthetic aperture radar; Satellite; Arctic ice pack; Synthetic aperture radar; Arctic; Cryosphere; Digital elevation model; Sea ice concentration; Sea ice thickness; Climatology; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001560444,0.0001887024,0.0001250344,0.001123677,0.0001862988,0.0002980002,0.0001851717,0.0001143676,0.0002903045],"category_scores_gemma":[0.0003381032,0.00006441616,0.00007415108,0.0006421535,0.0001633368,0.0001705679,0.0001986051,0.0000993206,0.00008126273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004204766,"about_ca_system_score_gemma":0.0005960827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1890495,"about_ca_topic_score_gemma":0.4661983,"domain_scores_codex":[0.9999255,0.000006799141,0.000002445309,0.00001418921,0.00003733737,0.00001364383],"domain_scores_gemma":[0.9998645,0.00001464775,0.00002160787,0.000008763621,0.00006919552,0.00002133077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003269819,0.00006140282,0.4917528,0.000359988,0.0001251108,0.0004074454,0.0006741096,0.02427516,0.2121072,0.0005961971,0.001027927,0.2682857],"study_design_scores_gemma":[0.000006853119,0.00004927089,0.9285923,0.00002479874,0.00003563058,0.0002178886,0.0004300432,0.04699474,0.02138332,0.0001261235,0.00212099,0.0000180639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984396,0.0005128455,0.01098251,0.00002113363,0.000005399986,0.00005944187,0.0008272311,0.0001413554,0.003054161],"genre_scores_gemma":[0.9770791,0.0002916899,0.02104916,0.00001104667,0.000003597722,0.00001246893,0.0007354185,0.000009036843,0.0008084972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1890495,"threshold_uncertainty_score":0.3758982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01629372081530053,"score_gpt":0.2138532730167112,"score_spread":0.1975595522014106,"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."}}