{"id":"W1994306098","doi":"10.4043/23512-ms","title":"Autonomous Inspection of Subsea Facilities-Gulf of Mexico Trials","year":2012,"lang":"en","type":"article","venue":"Offshore Technology Conference","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Subsea; Nuclear decommissioning; Underwater; Submarine pipeline; Marine engineering; Systems engineering; Engineering; Scope (computer science); Pipeline transport; Reliability (semiconductor); Computer science; Construction engineering","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":[0.0004459796,0.0002898631,0.0001959172,0.000517843,0.0006910758,0.0003422943,0.000457967,0.000439348,0.001523893],"category_scores_gemma":[0.0006983631,0.0001462861,0.000187626,0.0002839337,0.0003409141,0.0003012585,0.0006155149,0.000337924,0.0001389708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001145678,"about_ca_system_score_gemma":0.0006187671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03530511,"about_ca_topic_score_gemma":0.09155479,"domain_scores_codex":[0.999738,0.00003423834,0.000008859749,0.00006634738,0.0001056704,0.00004679014],"domain_scores_gemma":[0.9995244,0.00008739931,0.00008724167,0.00007769366,0.0001706857,0.00005270494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004693878,0.001657293,0.1982611,0.0003629745,0.0001980034,0.002215605,0.001559412,0.1009047,0.4670744,0.001147264,0.006655889,0.2152695],"study_design_scores_gemma":[0.0008404034,0.008453498,0.5061235,0.00007933817,0.0001271547,0.0004384471,0.002730781,0.1677966,0.2926438,0.0004615895,0.0202,0.0001049199],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940149,0.0000294649,0.003381257,0.000050533,0.000007306622,0.0001267352,0.0002824384,0.0002511029,0.001856187],"genre_scores_gemma":[0.9902686,0.00003320585,0.006621351,0.00002480509,0.000002422984,0.0001027993,0.000495159,0.00001749909,0.002434136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03530511,"threshold_uncertainty_score":0.07019925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03483333682122008,"score_gpt":0.2499703195403107,"score_spread":0.2151369827190907,"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."}}