{"id":"W3208926447","doi":"10.3390/rs13214335","title":"An Adaptive Approach to Derive Sea Ice Draft from Upward-Looking Acoustic Doppler Current Profilers (ADCPs), Validated by Upward-Looking Sonar (ULS) Data","year":2021,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASL Environmental Sciences (Canada)","funders":"Bundesministerium für Bildung und Forschung","keywords":"Sea ice; Acoustic Doppler current profiler; Geology; Hull; Current (fluid); Sonar; Doppler effect; Range (aeronautics); Remote sensing; Arctic ice pack; Environmental science; Geodesy; Meteorology; Oceanography; Geography; Engineering; Aerospace engineering","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":[0.0003756621,0.0005043006,0.0002096345,0.001514926,0.0002331725,0.0004476274,0.0004374257,0.0002163905,0.0006151631],"category_scores_gemma":[0.001823259,0.0002226205,0.0003002806,0.001353142,0.0001547194,0.0004889078,0.0004836524,0.0004483741,0.0003268852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002135114,"about_ca_system_score_gemma":0.0004795572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004435049,"about_ca_topic_score_gemma":0.01069697,"domain_scores_codex":[0.9997401,0.00003084475,0.00002241319,0.00009606485,0.00009469048,0.00001583915],"domain_scores_gemma":[0.9993373,0.0001161334,0.0001640105,0.00009756038,0.000257208,0.00002779567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001498801,0.0002104318,0.1475006,0.0001619252,0.0001848144,0.000135233,0.0002889475,0.04492364,0.1695191,0.001036854,0.001714913,0.6341738],"study_design_scores_gemma":[0.0000503293,0.0002534384,0.2644228,0.00002938421,0.0001201355,0.000354936,0.0001642929,0.6621861,0.06371173,0.001331844,0.007258898,0.000116017],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2807767,0.0001891552,0.713117,0.00005146911,0.00006006879,0.000163863,0.001048415,0.001795216,0.002798095],"genre_scores_gemma":[0.4702628,0.000164481,0.5264704,0.00003732137,0.00003625479,0.0001637185,0.001546584,0.00019493,0.001123406],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004435049,"threshold_uncertainty_score":0.008818507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03511989530268824,"score_gpt":0.2592686359409423,"score_spread":0.2241487406382541,"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."}}