{"id":"W3002733968","doi":"10.23919/oceans40490.2019.8962852","title":"Design and Development of a Novel Autonomous Moored Profiler","year":2019,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Subsea; Marine engineering; Buoyancy; Propulsion; Buoy; Profiling (computer programming); Underwater; Mooring; Wind profiler; Computer science; Geology; Engineering; Aerospace engineering; Oceanography; 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":[0.0002337388,0.0003054628,0.0003658039,0.0002396553,0.0002169899,0.0004412191,0.001026833,0.0004622121,0.001423823],"category_scores_gemma":[0.0002584232,0.0002564814,0.0002266422,0.0001158119,0.0001834439,0.0004415262,0.0004697606,0.0002950668,0.001070846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002709272,"about_ca_system_score_gemma":0.0005467083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007150376,"about_ca_topic_score_gemma":0.0007375319,"domain_scores_codex":[0.9996668,0.00001692828,0.00001442675,0.00006493884,0.0002106633,0.00002616625],"domain_scores_gemma":[0.9998397,0.00001371264,0.00002917855,0.00002956098,0.00006403802,0.00002382849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001099647,0.0001094971,0.002033746,0.0002941221,0.0000359945,0.0005366033,0.0002033276,0.0165479,0.7282479,0.004263055,0.00290811,0.2447097],"study_design_scores_gemma":[0.0001776336,0.002392496,0.008943101,0.00004841374,0.0000964724,0.00269477,0.0001303465,0.3284214,0.5291907,0.001080553,0.1266983,0.0001257718],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1125089,0.0004311491,0.8640913,0.0003326319,0.0001610298,0.0006328935,0.0002340367,0.004617626,0.01699043],"genre_scores_gemma":[0.4279122,0.0003491141,0.5555513,0.0001870237,0.00004644921,0.0003335555,0.0002545497,0.0001297541,0.01523603],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001423823,"threshold_uncertainty_score":0.004763186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03483775602756368,"score_gpt":0.2132938613208601,"score_spread":0.1784561052932965,"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."}}