{"id":"W4206928114","doi":"10.5194/tc-16-259-2022","title":"Retrieval and parameterisation of sea-ice bulk density from airborne multi-sensor measurements","year":2022,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Environment and Climate Change Canada","keywords":"Freeboard; Sea ice; Sea ice thickness; Snow; Arctic ice pack; Geology; Sea ice concentration; Arctic; Cryosphere; Remote sensing; Climatology; Environmental science; Atmospheric sciences; Oceanography; Geomorphology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003563737,0.0006936815,0.000261138,0.001124558,0.0001311872,0.0005081977,0.0004260176,0.0002345054,0.0006650178],"category_scores_gemma":[0.0008595453,0.0002348007,0.0004658299,0.000786777,0.00009446711,0.0007034795,0.0003002981,0.0002469342,0.000402675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003290874,"about_ca_system_score_gemma":0.0002627955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01035732,"about_ca_topic_score_gemma":0.01200773,"domain_scores_codex":[0.9998548,0.00002478723,0.00001262889,0.00004437933,0.00004473187,0.00001863113],"domain_scores_gemma":[0.9997279,0.00005864124,0.00004751685,0.00005479989,0.00009866831,0.00001240276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002949632,0.000231318,0.3901891,0.0004516641,0.0004861265,0.0002677019,0.0002531305,0.3392832,0.08145881,0.0007397453,0.002702344,0.183642],"study_design_scores_gemma":[0.00002270305,0.00004830785,0.3479622,0.0000668749,0.00005838888,0.0001034131,0.0001249475,0.6345263,0.01500478,0.0003473483,0.001694617,0.0000400707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9192349,0.0004456885,0.07253597,0.00004559169,0.00006341482,0.00005315102,0.004786006,0.0007907645,0.00204437],"genre_scores_gemma":[0.9636232,0.0001997704,0.03072655,0.00002033711,0.00001828896,0.00005330007,0.004963924,0.00005021223,0.000344542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01035732,"threshold_uncertainty_score":0.02059406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02825861171469373,"score_gpt":0.2179348018179205,"score_spread":0.1896761901032268,"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."}}