{"id":"W2527516899","doi":"10.1002/2016jc011876","title":"Estimation of melt pond fraction over high‐concentration Arctic sea ice using AMSR‐E passive microwave data","year":2016,"lang":"en","type":"article","venue":"Journal of Geophysical Research Oceans","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Aerospace Exploration Agency; International Arctic Research Center, University of Alaska, Fairbanks","keywords":"Environmental science; Brightness temperature; Sea ice; Arctic; Arctic ice pack; Depth sounding; Microwave; Latitude; Remote sensing; Microwave radiometer; Radiometer; Atmospheric sciences; Climatology; Geology; Oceanography; Geodesy","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":[0.001008534,0.0001137179,0.0002528729,0.000123227,0.0001867825,0.00005458175,0.0004258928,0.00007631142,0.0003572493],"category_scores_gemma":[0.000894436,0.00007282741,0.0000775503,0.0002695919,0.0002992002,0.001454747,0.00005235413,0.0004234554,0.0000438265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006875245,"about_ca_system_score_gemma":0.0003769271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001569153,"about_ca_topic_score_gemma":0.0001281575,"domain_scores_codex":[0.997556,0.000282321,0.0004477002,0.0002105859,0.001134853,0.0003684806],"domain_scores_gemma":[0.997305,0.00127519,0.000403274,0.0002951382,0.0005282937,0.0001931157],"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":[0.001387656,0.0004439579,0.1612179,0.0002028277,0.0003306189,0.0001441644,0.0005806503,0.003059837,0.03073254,0.001598411,0.001737206,0.7985643],"study_design_scores_gemma":[0.001420683,0.001082061,0.5130386,0.0005667302,0.0001417539,0.0001043515,0.0005220461,0.458019,0.002847195,0.02156731,0.0004206291,0.0002695958],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737161,0.00003797935,0.02467201,0.0009948554,0.0002233765,0.0001131318,0.0001287258,0.000004198982,0.0001095816],"genre_scores_gemma":[0.9961847,0.0002066257,0.002990208,0.00004153654,0.0004405344,8.863145e-8,0.00005574602,0.000005657808,0.000074883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7982947,"threshold_uncertainty_score":0.3911629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04723692928625332,"score_gpt":0.3260261061214261,"score_spread":0.2787891768351728,"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."}}