{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002329155,0.00008524377,0.0001677576,0.000008196997,0.0001644466,0.00003674689,0.0003235883,0.0001067608,0.00000354732],"category_scores_gemma":[0.000004898806,0.00005303026,0.00003660045,0.0002087567,0.0001290937,0.00006363956,0.00005489993,0.0002110042,0.000007652553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004860237,"about_ca_system_score_gemma":0.00001786154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001059242,"about_ca_topic_score_gemma":0.000001480489,"domain_scores_codex":[0.9993294,0.00001964124,0.0003508959,0.00005585807,0.00008803674,0.0001560972],"domain_scores_gemma":[0.9994683,0.00003092589,0.0001286923,0.0002174533,0.0001190585,0.00003556177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001851359,0.00008828086,0.02044277,0.0004578653,0.001322221,0.00009389985,0.002258012,0.0002730024,0.1000367,0.06281015,0.005966557,0.8060654],"study_design_scores_gemma":[0.002778155,0.001717443,0.00441969,0.0007317662,0.0001916428,0.00637539,0.03878199,0.1051284,0.07869209,0.004690133,0.7556271,0.0008661865],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9627506,0.008345738,0.02598981,0.0006622841,0.0003717244,0.0001005909,3.637788e-7,0.0002375756,0.001541311],"genre_scores_gemma":[0.9929993,0.0004063641,0.006348744,0.0000144752,0.0001349172,0.000001772055,5.239634e-8,0.00001491935,0.0000794213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8051992,"threshold_uncertainty_score":0.2162511,"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."}}