{"id":"W2091342293","doi":"10.1016/j.coldregions.2008.11.006","title":"Through-ice AUV deployment: Operational and technical experience from two seasons of Arctic fieldwork","year":2008,"lang":"en","type":"article","venue":"Cold Regions Science and Technology","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Office of Polar Programs; Office of Naval Research; European Commission; National Geographic Society; National Science Foundation","keywords":"Beaufort sea; Sea ice; Arctic; Software deployment; Oceanography; Geology; Beaufort scale; Arctic ice pack; The arctic; Sonar; Marine engineering; Remote sensing; Meteorology; Engineering; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001327369,0.00009859767,0.0001486725,0.000118703,0.0006776321,0.00002072271,0.0003192602,0.00009090816,0.00007581683],"category_scores_gemma":[0.0002164878,0.00008082941,0.00001577402,0.0008230922,0.004142258,0.0003198584,0.00008190913,0.0001671554,0.000005973315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007961929,"about_ca_system_score_gemma":0.000193377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008538343,"about_ca_topic_score_gemma":0.0003931755,"domain_scores_codex":[0.9989746,0.00001468233,0.000140952,0.0003528052,0.0002595442,0.0002574244],"domain_scores_gemma":[0.9993801,0.0001616939,0.000057742,0.0002179725,0.0001116574,0.00007088733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001218972,0.0000286302,0.9448951,0.000006952641,0.000008054837,0.00003082194,0.0006225408,0.00003820816,0.002253476,0.0484061,0.0002357567,0.003462167],"study_design_scores_gemma":[0.002283768,0.001159234,0.87038,0.0003059217,0.0001094626,0.003078204,0.007770887,0.0260755,0.007643182,0.05699659,0.0228691,0.001328155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991272,0.0005209574,0.001885184,0.005280757,0.00008966899,0.0001304021,0.00001348085,0.00005844624,0.0007491274],"genre_scores_gemma":[0.9901455,0.000695883,0.008704198,0.0003514357,0.00002444761,0.000003647308,0.000004336283,0.000001874192,0.00006865663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07451511,"threshold_uncertainty_score":0.9985679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01758455699128355,"score_gpt":0.2398353891367405,"score_spread":0.222250832145457,"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."}}