{"id":"W2057633041","doi":"10.5194/tc-8-1607-2014","title":"Sensitivity of CryoSat-2 Arctic sea-ice freeboard and thickness on radar-waveform interpretation","year":2014,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":405,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Wirtschaft und Technologie; European Space Agency","keywords":"Freeboard; Geology; Radar; Sensitivity (control systems); Geodesy; Waveform; Interpretation (philosophy); Arctic ice pack; Meteorology; Remote sensing; Sea ice; Arctic; Climatology; Oceanography; Computer science; Geography; Engineering; Telecommunications","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":[0.003129906,0.0008629896,0.0003390504,0.0008730865,0.0001471559,0.000984375,0.0004086572,0.0005762813,0.0006418962],"category_scores_gemma":[0.01149994,0.000203837,0.0003834537,0.0005595533,0.0002397353,0.0007542525,0.0008323134,0.000339576,0.0003472816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002937395,"about_ca_system_score_gemma":0.0001637171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001758,"about_ca_topic_score_gemma":0.001654511,"domain_scores_codex":[0.998706,0.0004142324,0.00009571232,0.0003692617,0.0003089402,0.0001058695],"domain_scores_gemma":[0.9924501,0.005077054,0.0008530022,0.0007261944,0.0007564547,0.0001372011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002334763,0.0002541701,0.4307416,0.000520237,0.001068997,0.0004061092,0.0006155637,0.2755065,0.1309572,0.0005294824,0.0009443772,0.1561209],"study_design_scores_gemma":[0.00003496862,0.0005151864,0.6525142,0.0001095545,0.000248128,0.0004000653,0.0003305768,0.2667475,0.07714912,0.0004916998,0.001372016,0.00008701809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788745,0.0004634298,0.01849888,0.00003132803,0.00004695597,0.0000260092,0.0005412486,0.0002888718,0.001228829],"genre_scores_gemma":[0.9900863,0.0001634033,0.008131017,0.00004416598,0.00001992493,0.00001121409,0.001255604,0.00007079633,0.0002176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003129906,"threshold_uncertainty_score":0.01655269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006298412955299314,"score_gpt":0.1922514475457933,"score_spread":0.185953034590494,"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."}}