{"id":"W4387229866","doi":"10.2118/216749-ms","title":"Visual Twin for Pipeline Leak Detection","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Visualization; Pipeline (software); Subsea; Context (archaeology); Data visualization; Situation awareness; Software; Real-time computing; Engineering; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008115898,0.001031954,0.0004641825,0.001383903,0.0002906548,0.001261597,0.001375537,0.0005921394,0.02127867],"category_scores_gemma":[0.002574923,0.0005602682,0.0005788998,0.0005615952,0.0003616006,0.001665004,0.002543721,0.0008319534,0.002761882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006594697,"about_ca_system_score_gemma":0.0007223519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003055938,"about_ca_topic_score_gemma":0.003458439,"domain_scores_codex":[0.9994307,0.00008250512,0.00002984009,0.0001334056,0.0002614637,0.00006210536],"domain_scores_gemma":[0.9989196,0.0002404015,0.00007390098,0.0002106566,0.0004056387,0.0001498455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003340584,0.0003872269,0.009893087,0.001069116,0.0001859639,0.0009442178,0.0008724404,0.04015995,0.2409305,0.009576225,0.07665023,0.6159905],"study_design_scores_gemma":[0.0002642731,0.0007813947,0.01056124,0.0002082965,0.0001026885,0.001075526,0.0002569598,0.7203858,0.1431348,0.008586006,0.1144281,0.0002148854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05964996,0.0006135806,0.8296883,0.0004951547,0.0002209398,0.0004317891,0.002212196,0.08925721,0.01743092],"genre_scores_gemma":[0.5129901,0.0003989518,0.4636924,0.000524234,0.0001056182,0.0003274089,0.003752371,0.005408624,0.01280029],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02127867,"threshold_uncertainty_score":0.07118428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01684121001845048,"score_gpt":0.3056479937256218,"score_spread":0.2888067837071713,"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."}}