{"id":"W2075121303","doi":"10.1109/oceans.2014.7003219","title":"Development of a new autonomous underwater moored mobile profiler","year":2014,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Profiling (computer programming); Subsea; Payload (computing); Wind profiler; Marine engineering; Computer science; Mooring; Underwater; Systems engineering; Real-time computing; Engineering; Geology; Telecommunications; Oceanography","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":[0.00009308986,0.00008324921,0.0001233845,0.00003789681,0.00002458076,0.00001583711,0.0001685111,0.00004127304,0.0001803925],"category_scores_gemma":[2.70013e-7,0.00006715988,0.00002594497,0.00005460675,0.000008889681,0.00004762349,0.0000413003,0.00004245845,0.0001442095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003122716,"about_ca_system_score_gemma":0.00002500403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002425147,"about_ca_topic_score_gemma":0.00003042228,"domain_scores_codex":[0.9994385,0.00001170715,0.0002693018,0.00007476655,0.00008196977,0.0001237594],"domain_scores_gemma":[0.9996397,0.000008912822,0.00002190461,0.0002546767,0.00001897946,0.00005583881],"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":[0.00001512139,0.0001385779,0.001321148,0.0004916015,0.0002974895,4.351361e-7,0.02312135,0.0137914,0.4307102,0.002952951,0.005449032,0.5217107],"study_design_scores_gemma":[0.0003691601,0.00002100435,0.0006378584,0.00003151723,0.000004268165,0.000002053511,0.000304664,0.01852174,0.4412307,0.0002470586,0.5384323,0.0001976691],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.472109,0.00008747487,0.4849954,0.00004962735,0.00006664955,0.0003132224,7.229751e-7,0.0004746434,0.04190326],"genre_scores_gemma":[0.9287678,0.000002469736,0.06820616,0.00002004788,0.00002156434,0.00003711624,0.000005327573,0.00001718845,0.002922319],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5329832,"threshold_uncertainty_score":0.27387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01966720036549357,"score_gpt":0.2188730982793585,"score_spread":0.1992058979138649,"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."}}