{"id":"W4412450912","doi":"10.3390/jmse13071347","title":"Autonomous Tracking of Steel Lazy Wave Risers Using a Hybrid Vision–Acoustic AUV Framework","year":2025,"lang":"en","type":"article","venue":"Journal of Marine Science and Engineering","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Department of Industry, Energy and Technology; Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Touchdown; Seabed; Marine engineering; Subsea; Pipeline (software); Underwater; Computer science; Engineering; Simulation; Geology; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006353848,0.0001765871,0.0003300704,0.0008528764,0.00006688974,0.00009215594,0.000292031,0.00007161627,0.000004984558],"category_scores_gemma":[0.0005699276,0.0001638029,0.00006703629,0.0008383965,0.0001266449,0.0004728587,0.0001737641,0.0004486411,2.706166e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001524192,"about_ca_system_score_gemma":0.00009528473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004355832,"about_ca_topic_score_gemma":4.193558e-7,"domain_scores_codex":[0.9987913,0.000003727627,0.0004392901,0.0001340086,0.0003118443,0.000319802],"domain_scores_gemma":[0.9993461,0.0001224441,0.00008057838,0.0001865959,0.0001775999,0.00008661794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006077614,0.00001629105,0.0004450055,0.0002862946,0.00005668908,0.00004013747,0.00009555895,0.8644574,0.08480987,0.0005330967,0.0000529371,0.04920059],"study_design_scores_gemma":[0.0002681223,0.00009964815,0.009020573,0.0008985216,0.00006916848,0.0001925081,0.0001971609,0.9566335,0.03128367,0.0005667,0.0005154076,0.0002550142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8836327,0.000715381,0.1141192,0.00004421425,0.0009509806,0.00005554303,0.000001541589,0.0001563459,0.0003241792],"genre_scores_gemma":[0.9673415,0.0001971399,0.03236758,0.000006099525,0.00005926518,8.539337e-7,1.331963e-7,0.00001728643,0.0000101729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09217606,"threshold_uncertainty_score":0.6679689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00865389481860796,"score_gpt":0.2283413414203224,"score_spread":0.2196874466017145,"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."}}