{"id":"W4306918194","doi":"","title":"Pipeline following by visual servoing for Autonomous Underwater Vehicles","year":2019,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Visual servoing; Underwater; Pipeline (software); Marine engineering; Computer science; Environmental science; Aeronautics; Artificial intelligence; Geology; Engineering; Oceanography; Robot; Operating system","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":[0.001908647,0.0002266188,0.000272522,0.00008960054,0.0002194741,0.0002688605,0.0006337845,0.0001270378,0.00005531896],"category_scores_gemma":[0.00002897459,0.0002363631,0.0001829776,0.0002068332,0.00003571007,0.0002475193,0.0001665426,0.000183227,0.0001285732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001020752,"about_ca_system_score_gemma":0.00003573794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001678707,"about_ca_topic_score_gemma":0.0001649125,"domain_scores_codex":[0.9979829,0.0006655618,0.0004441933,0.0003304339,0.0002112045,0.0003656757],"domain_scores_gemma":[0.9979358,0.0006203025,0.00009980459,0.0008780717,0.0003484715,0.0001175668],"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":[0.00003056144,0.0006501078,0.008653551,0.0006269018,0.0004004591,0.000002684998,0.01487063,0.001861091,0.8424412,0.01412045,0.009834932,0.1065074],"study_design_scores_gemma":[0.001426102,0.000001169731,0.0002895956,0.0005294945,0.00003409668,0.000006662211,0.0004602599,0.2795594,0.5407988,0.000875005,0.1754386,0.0005807657],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5106909,0.0008646228,0.4697596,0.002107175,0.0001414492,0.0005105574,0.00002290196,0.0005997703,0.01530308],"genre_scores_gemma":[0.9729,0.00005352111,0.01599446,0.00009128822,0.0000168127,0.00006848684,0.0001842533,0.00007328142,0.01061786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4622091,"threshold_uncertainty_score":0.9638608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007692330829188672,"score_gpt":0.2065053488126855,"score_spread":0.1988130179834968,"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."}}