{"id":"W4413321977","doi":"10.1109/antem64578.2025.11114122","title":"An Evaluation of Ground Truth Data on GNSS-R Based Sea Ice Classification","year":2025,"lang":"en","type":"article","venue":"","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Ground truth; GNSS applications; Sea ice; Remote sensing; Computer science; Geodesy; Geology; Artificial intelligence; Global Positioning System; Climatology; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01280231,0.001637423,0.00086407,0.002663356,0.0007506236,0.001411102,0.001568265,0.001932333,0.001354389],"category_scores_gemma":[0.02292165,0.0002526743,0.0008280918,0.001887039,0.0008318694,0.001885783,0.001189082,0.0007224845,0.001593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001086898,"about_ca_system_score_gemma":0.0009392438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02353216,"about_ca_topic_score_gemma":0.02740205,"domain_scores_codex":[0.9925568,0.002932788,0.0005371347,0.001758567,0.00170889,0.0005057167],"domain_scores_gemma":[0.9838717,0.007979326,0.0009646591,0.00264068,0.004194606,0.0003489897],"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":[0.00433342,0.001630304,0.2016615,0.0014845,0.001504115,0.0004527808,0.0006134337,0.2954473,0.01416495,0.001354606,0.03184285,0.4455102],"study_design_scores_gemma":[0.0003376217,0.001241723,0.1648811,0.000503427,0.000292909,0.0003601646,0.0009844349,0.7878684,0.03267296,0.001363237,0.009377584,0.0001164269],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9439751,0.002687982,0.02943284,0.0003919705,0.0004622792,0.0002296239,0.01070046,0.005570908,0.006548974],"genre_scores_gemma":[0.937984,0.0004025888,0.0246215,0.0001565067,0.0000666074,0.0000925699,0.03504213,0.00026351,0.001370427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02353216,"threshold_uncertainty_score":0.06770593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08647434875797609,"score_gpt":0.3207812224292751,"score_spread":0.234306873671299,"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."}}