{"id":"W61345438","doi":"","title":"An Energy Conserving Oceanographic Profiler For Use Under Mobile Ice Cover; ICYCLER","year":2004,"lang":"en","type":"article","venue":"International Journal of Offshore and Polar Engineering","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography","funders":"","keywords":"Environmental science; Arctic; Sea ice; Wind profiler; Echo sounding; Remote sensing; Profiling (computer programming); Mooring; Snow cover; Software deployment; Marine engineering; Oceanography; Meteorology; Geology; Snow; Engineering; Computer science; Geography; Telecommunications; Radar","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003940995,0.0007776794,0.0007252904,0.0008853096,0.0005021639,0.000521475,0.0008784223,0.0003705091,0.006888875],"category_scores_gemma":[0.0008094839,0.0003488779,0.0002241084,0.000685457,0.0003187386,0.0006192836,0.000724339,0.0003869143,0.002142511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004475948,"about_ca_system_score_gemma":0.0008535851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006252004,"about_ca_topic_score_gemma":0.00892086,"domain_scores_codex":[0.9995734,0.00002911708,0.00001361125,0.000112372,0.0002214695,0.0000500248],"domain_scores_gemma":[0.9994925,0.00005023223,0.0000521379,0.0001215855,0.0001963978,0.00008713554],"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":[0.001118948,0.0002005532,0.01410052,0.0004468567,0.00005025712,0.0007850562,0.000719597,0.003856081,0.3451898,0.00139882,0.04292002,0.5892135],"study_design_scores_gemma":[0.0008612863,0.003776036,0.1433709,0.0001953225,0.0003802568,0.005686767,0.0006797882,0.1012365,0.36369,0.00100535,0.3786922,0.000425502],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5584601,0.0008845766,0.3395768,0.0004239625,0.0005854528,0.002356,0.01062515,0.02807001,0.059018],"genre_scores_gemma":[0.7618644,0.000401135,0.1877301,0.0004002896,0.00008982461,0.0008535047,0.006297407,0.001435994,0.04092738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006888875,"threshold_uncertainty_score":0.02304554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009337592463992595,"score_gpt":0.219161251261613,"score_spread":0.2098236587976204,"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."}}