{"id":"W2038425038","doi":"10.1115/omae2011-49024","title":"High Resolution Seabed Sub-Bottom Profiler for AUV","year":2011,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Subsea; Marine engineering; Seabed; Underwater; Bathymetry; Intervention AUV; Engineering; Remotely operated underwater vehicle; Remote sensing; Computer science; Geology; Oceanography; Robot; Mobile robot","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009960648,0.00006851293,0.00007981438,0.00003002673,0.0000428117,0.00001620687,0.0001397471,0.00005301964,0.00008801695],"category_scores_gemma":[7.190216e-7,0.00005908103,0.00003304033,0.00005461068,0.000009507325,0.00008614809,0.00001872381,0.0000503784,0.0000914394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002668461,"about_ca_system_score_gemma":0.000004989889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001056248,"about_ca_topic_score_gemma":0.00002581466,"domain_scores_codex":[0.9995699,0.00001371995,0.0001480119,0.00007596662,0.00005383514,0.0001385675],"domain_scores_gemma":[0.9996518,0.00001286953,0.00001512247,0.0002470241,0.00003777157,0.00003536104],"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":[0.0002365392,0.0004119363,0.008465289,0.0009712465,0.0006483338,0.000003352699,0.01083276,0.0015814,0.7227411,0.1051737,0.08021609,0.06871822],"study_design_scores_gemma":[0.001122868,0.0001082609,0.01167156,0.00004191536,0.00002499083,0.000005365981,0.0003534619,0.0571114,0.8250555,0.003329626,0.1006851,0.0004900056],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5103418,0.0002658594,0.4623959,0.0001640979,0.0002989987,0.0008126939,0.00001463195,0.001255923,0.02445014],"genre_scores_gemma":[0.9726825,0.0000118743,0.02584309,0.00002889366,0.00004894276,0.0001243397,0.00001466426,0.00001981699,0.001225924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4623407,"threshold_uncertainty_score":0.2409254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04245322616813196,"score_gpt":0.2108817572956427,"score_spread":0.1684285311275107,"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."}}