{"id":"W2038766187","doi":"10.1029/2002jc001319","title":"Comparison of thin ice thickness distributions derived from RADARSAT Geophysical Processor System and advanced very high resolution radiometer data sets","year":2003,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Curtin University of Technology","keywords":"Advanced very-high-resolution radiometer; Snow; Sea ice; Satellite; Remote sensing; Arctic; Geology; Radiometer; Sea ice thickness; Arctic ice pack; Environmental science; Sea ice concentration; Climatology; Meteorology; Geomorphology; Oceanography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007189572,0.0002809035,0.0002486304,0.002558779,0.000219714,0.0006966753,0.0002170451,0.0001696181,0.000280802],"category_scores_gemma":[0.002134724,0.0002283921,0.0002373169,0.001916647,0.0002224586,0.0003341938,0.0003370712,0.0001288725,0.0001325168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137323,"about_ca_system_score_gemma":0.0008213737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2132439,"about_ca_topic_score_gemma":0.2663493,"domain_scores_codex":[0.9996824,0.0000330317,0.00002488819,0.00005585809,0.0001471233,0.00005657483],"domain_scores_gemma":[0.9984817,0.0002831796,0.0002470626,0.00008509571,0.0008093746,0.00009355467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004522139,0.00002781826,0.9417945,0.00006064986,0.0002102741,0.0002056373,0.0003778718,0.01579108,0.006099526,0.0002008948,0.0006028774,0.03417653],"study_design_scores_gemma":[0.0000106363,0.00001979539,0.9884434,0.000009821631,0.00002623924,0.00004803561,0.0001568399,0.009640803,0.000970358,0.00004594663,0.0006170504,0.00001107512],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973913,0.00008976284,0.0005211401,0.00001292772,0.000003090143,0.00000891331,0.001441637,0.00002795728,0.0005031624],"genre_scores_gemma":[0.9900546,0.0001305761,0.001400573,0.00001111642,0.000005397943,0.00001233075,0.008088191,0.00001462926,0.0002825297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2132439,"threshold_uncertainty_score":0.4240053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04262281699323904,"score_gpt":0.3209995904545173,"score_spread":0.2783767734612782,"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."}}