{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007533827,0.00004564523,0.00007497954,0.00002263331,0.00001029833,0.000008841155,0.00006683556,0.00002283036,0.00003575609],"category_scores_gemma":[1.244048e-7,0.0000379672,0.000005849175,0.00002683741,0.0000049459,0.00003348103,0.00002495296,0.00002361481,0.00002843861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001273656,"about_ca_system_score_gemma":0.00001400771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004073798,"about_ca_topic_score_gemma":0.000001042998,"domain_scores_codex":[0.9997087,0.000005333322,0.0001353816,0.00004744182,0.00004217954,0.00006093665],"domain_scores_gemma":[0.99982,0.00001236309,0.00001267624,0.0001227002,0.00001404888,0.00001823409],"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":[0.000008512802,0.00006006912,0.001672705,0.000206786,0.00009932133,1.141598e-7,0.00560788,0.01094886,0.9490061,0.00045402,0.00008893642,0.03184669],"study_design_scores_gemma":[0.001053358,0.00003152926,0.004381937,0.00005034886,0.000003891076,0.000006547245,0.0005577048,0.3163273,0.6529748,0.00001682962,0.02433285,0.0002628188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3649272,0.0000582167,0.6318537,0.00001066783,0.00001491585,0.0001939439,2.700378e-7,0.00008080647,0.002860255],"genre_scores_gemma":[0.8181842,0.000002093284,0.1814206,0.000005853494,0.000001760724,0.00001243708,9.513172e-7,0.00000691482,0.0003651849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.453257,"threshold_uncertainty_score":0.1548258,"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."}}