{"id":"W2005549124","doi":"10.1115/omae2013-10069","title":"Real-Time Finite Element Analysis of a Remotely Operated Pipeline Repair System","year":2013,"lang":"en","type":"article","venue":"","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dynamic Systems Analysis (Canada)","funders":"","keywords":"Subsea; Remotely operated underwater vehicle; Marine engineering; Pipeline (software); Pipeline transport; Engineering; Remotely operated vehicle; Seabed; Process (computing); Computer science; Simulation; Mechanical engineering; Automotive engineering; Robot; Geology; Artificial intelligence; Mobile robot","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":[0.0003098501,0.0004193274,0.0004231399,0.0005026739,0.0003968919,0.0007017904,0.0006387849,0.001413344,0.002854563],"category_scores_gemma":[0.0007111531,0.0003396988,0.0005484586,0.0002731807,0.0006241826,0.0003964531,0.0004053282,0.0004481966,0.0003798277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000531124,"about_ca_system_score_gemma":0.0006567314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00953787,"about_ca_topic_score_gemma":0.005927932,"domain_scores_codex":[0.9998137,0.00003394189,0.000008924057,0.00003078525,0.00008348053,0.0000292032],"domain_scores_gemma":[0.9996798,0.0001476242,0.00004736883,0.00002468111,0.0000769839,0.00002358847],"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":[0.00003965203,0.00002845996,0.001005877,0.00002359496,0.000007021643,0.0001236484,0.00006537134,0.9909139,0.004320522,0.0007371708,0.0002102623,0.002524661],"study_design_scores_gemma":[0.000003112035,0.00001983749,0.0002654705,0.000002807401,0.000001874546,0.00001141533,0.00002904637,0.9988899,0.0004300959,0.00009193264,0.0002508018,0.000003702978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6772076,0.0003304236,0.2938366,0.0005920326,0.0001110777,0.0001543409,0.0006388097,0.001002771,0.02612635],"genre_scores_gemma":[0.9730757,0.00008836545,0.01982333,0.00005331775,0.000007632532,0.00006732138,0.0001845777,0.00005668077,0.006643197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00953787,"threshold_uncertainty_score":0.01896471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006002005208478342,"score_gpt":0.1878474428442389,"score_spread":0.1818454376357606,"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."}}