{"id":"W2753580616","doi":"10.3189/2015jog14j229","title":"Effects of radar side-lobes on snow depth retrievals from Operation IceBridge","year":2015,"lang":"en","type":"article","venue":"Journal of Glaciology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"California Institute of Technology; Jet Propulsion Laboratory; National Aeronautics and Space Administration","keywords":"Snow; Freeboard; Geology; Spurious relationship; Arctic; Radar; Sea ice; Environmental science; Meteorology; Climatology; Physical geography; Geomorphology; Oceanography; Geography; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000354142,0.00007867067,0.0002840298,0.00002457416,0.00005164786,0.000009853675,0.0001278961,0.00006549639,0.0001397059],"category_scores_gemma":[0.000813229,0.00005413214,0.00006506437,0.00009589049,0.00006175091,0.000110989,0.000007766685,0.0001298797,0.00003529507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008315898,"about_ca_system_score_gemma":0.00006374871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006235343,"about_ca_topic_score_gemma":0.0005223333,"domain_scores_codex":[0.9991328,0.0001395115,0.0003392929,0.0000856761,0.0001822513,0.0001204596],"domain_scores_gemma":[0.9985532,0.000858195,0.0002778175,0.00007609793,0.000146778,0.00008786817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009421565,0.0001079341,0.9316964,0.0000257875,0.0002473323,0.0000938636,0.00161585,0.004178738,0.001732753,0.0002411797,0.01988375,0.03923428],"study_design_scores_gemma":[0.000821226,0.001360741,0.9874709,0.00003119324,0.0000425933,0.00001897981,0.0002988245,0.0002998456,0.001907447,0.0008205669,0.006858559,0.00006910844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942051,0.002937971,0.0005717314,0.000597602,0.001000058,0.00006814786,0.00001434897,0.000004131532,0.0006009361],"genre_scores_gemma":[0.9972531,0.0003612626,0.001569745,0.0003821644,0.0003811111,1.482128e-7,0.00001426252,0.000001928782,0.00003626847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05577454,"threshold_uncertainty_score":0.2207445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0312032538572448,"score_gpt":0.2481186161280508,"score_spread":0.216915362270806,"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."}}