{"id":"W2894143788","doi":"10.1175/jtech-d-17-0180.1","title":"The Wire Flyer Towed Profiling System","year":2018,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Division of Ocean Sciences","keywords":"Profiling (computer programming); Remote sensing; Marine engineering; Geology; Environmental science; Propulsion; On board; Sampling (signal processing); Computer science; Aerospace engineering; Engineering; Telecommunications","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":[0.0001880795,0.0004466691,0.0003074794,0.0005557754,0.0003489206,0.0003889909,0.0005664639,0.0003544701,0.0116144],"category_scores_gemma":[0.0002340006,0.0001527892,0.0001518888,0.0005356725,0.0001192567,0.000552312,0.0007657107,0.0003186347,0.004381831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003282652,"about_ca_system_score_gemma":0.0007039922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008325725,"about_ca_topic_score_gemma":0.00487316,"domain_scores_codex":[0.9997048,0.00001810569,0.00001027652,0.00007002476,0.0001533492,0.00004347406],"domain_scores_gemma":[0.9998087,0.00001630615,0.00001777784,0.00004416958,0.00008635721,0.00002663786],"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":[0.000900761,0.0001948817,0.01192738,0.0002448311,0.00005980206,0.0004668474,0.0003256226,0.01030201,0.3359155,0.001877948,0.03109075,0.6066937],"study_design_scores_gemma":[0.0003574644,0.00244902,0.06581821,0.0001054928,0.0001313443,0.001165119,0.0004665967,0.304795,0.3648477,0.000957749,0.2586608,0.0002455656],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5730277,0.000547279,0.3180376,0.0002680503,0.000385814,0.001099702,0.009426019,0.04298871,0.05421912],"genre_scores_gemma":[0.813561,0.0002729463,0.1161135,0.0001876033,0.00006145796,0.0003789337,0.01046211,0.0004342238,0.05852818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0116144,"threshold_uncertainty_score":0.038854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004845386486670505,"score_gpt":0.1907015228475421,"score_spread":0.1858561363608716,"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."}}