{"id":"W1539212378","doi":"10.1002/9781118368909.ch12","title":"Remote sensing of lake and river ice","year":2014,"lang":"en","type":"other","venue":"","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"GDG Environnement; University of Waterloo","funders":"Japan Aerospace Exploration Agency; Canadian Space Agency; National Oceanic and Atmospheric Administration; European Space Agency","keywords":"Sea ice; Cryosphere; Arctic ice pack; Arctic; Snow; Antarctic sea ice; Shelf ice; Ice stream; Geology; Remote sensing; Sea ice thickness; Environmental science; Climatology; Oceanography; Geomorphology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003494689,0.0003206181,0.0002445352,0.001551244,0.0002724114,0.0007997142,0.0002871348,0.0002281072,0.004943145],"category_scores_gemma":[0.0002501756,0.0001144858,0.0001847948,0.002229682,0.0001159081,0.0006726685,0.0006253663,0.0002572155,0.001891905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002965927,"about_ca_system_score_gemma":0.0004476865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01276747,"about_ca_topic_score_gemma":0.01996087,"domain_scores_codex":[0.9997974,0.0000231207,0.00000739785,0.00003878685,0.0001104197,0.00002293989],"domain_scores_gemma":[0.999915,0.00001444085,0.000007048438,0.000009857498,0.00004578432,0.000007858019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001345651,0.00009757348,0.02464581,0.0007474279,0.00007288058,0.0002462271,0.0005399061,0.0116529,0.05000732,0.00849563,0.07086413,0.8324957],"study_design_scores_gemma":[0.0000602917,0.0001114827,0.1688224,0.0004734203,0.00008739916,0.0005581764,0.0008571128,0.05539627,0.02087194,0.00618833,0.7464406,0.0001326497],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.201476,0.04462988,0.1562411,0.001773127,0.0005755392,0.0005408422,0.05653631,0.006447711,0.5317795],"genre_scores_gemma":[0.611826,0.0361606,0.1864681,0.0006911691,0.0005841004,0.0003306471,0.0644353,0.0008137216,0.09869043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01276747,"threshold_uncertainty_score":0.02538627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006551501170325708,"score_gpt":0.1863658715309948,"score_spread":0.1798143703606691,"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."}}