{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001356976,0.00009334,0.0001104135,0.0001352435,0.00004688371,0.00009685716,0.0001720263,0.00004538468,0.00006034987],"category_scores_gemma":[0.00002164176,0.00007919479,0.00006629052,0.00005153978,0.00002502921,0.0005849542,0.000007420471,0.0001062191,0.000001175436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000985121,"about_ca_system_score_gemma":0.00005254413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002280575,"about_ca_topic_score_gemma":0.00005215463,"domain_scores_codex":[0.9993675,0.000008643065,0.0002090182,0.00008565843,0.000195198,0.0001339437],"domain_scores_gemma":[0.9995041,0.0001061064,0.00009151313,0.00005189578,0.0001441147,0.0001022506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002628368,0.00008533162,0.3221989,0.00004121184,0.0004866536,0.00009552319,0.0007406665,0.6554698,0.000976388,0.005612092,0.0001254033,0.01390517],"study_design_scores_gemma":[0.00395734,0.001543643,0.5401855,0.0004982033,0.0002198113,0.002349397,0.001299022,0.3973931,0.0008997264,0.005081447,0.04560954,0.0009632797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9102265,0.0002753692,0.08856098,0.0001918783,0.0005848404,0.00004370626,0.00006759284,0.00001089483,0.00003820339],"genre_scores_gemma":[0.9910888,0.0002188466,0.008004504,0.0003265532,0.0002966143,4.241534e-7,0.00004268885,0.000005847647,0.00001568716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2580768,"threshold_uncertainty_score":0.322947,"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."}}