{"id":"W1971599007","doi":"10.1115/ipc2010-31489","title":"Pipeline Integrity Evaluation of Oil Pipelines Using Free-Swimming Acoustic Technology","year":2010,"lang":"en","type":"article","venue":"2010 8th International Pipeline Conference, Volume 1","topic":"Water Systems and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pure North","funders":"","keywords":"Pipeline transport; Pipeline (software); Leak; Integrity management; Petroleum engineering; Marine engineering; Hazardous waste; Oil field; Engineering; Environmental science; Mechanical engineering; Waste management; Environmental 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009511154,0.0003101623,0.0003810988,0.0006515033,0.00007122487,0.00008152564,0.0007384213,0.0003972019,0.001081816],"category_scores_gemma":[0.000865366,0.0003065252,0.00009682294,0.0003714848,0.0001324724,0.0003657127,0.0001508483,0.0007231074,0.00006119887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001039462,"about_ca_system_score_gemma":0.0001898391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003208278,"about_ca_topic_score_gemma":0.00190765,"domain_scores_codex":[0.9976174,0.00004667289,0.000910745,0.0003557715,0.0007627446,0.0003067126],"domain_scores_gemma":[0.9963306,0.00003969242,0.0002580021,0.0005569143,0.002723839,0.000090913],"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":[0.00009445056,0.0004726106,0.02431776,0.0004361183,0.0003185408,0.00001304573,0.0007389227,0.58115,0.2188122,0.004036218,0.06735522,0.1022549],"study_design_scores_gemma":[0.0008964753,0.00001497143,0.0005143926,0.0001221859,0.00009531216,0.00002987004,0.0001085092,0.9854481,0.006555749,0.0009023173,0.005012102,0.0002999822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5079486,0.0002079467,0.4645422,0.0007511393,0.01231975,0.0003284409,0.0002340214,0.0004927943,0.01317502],"genre_scores_gemma":[0.9821865,0.00003286265,0.01121203,0.00001918578,0.0009200595,0.00003320699,0.000170621,0.0000521517,0.00537337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4742379,"threshold_uncertainty_score":0.9999387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03514123054186426,"score_gpt":0.2717693353779666,"score_spread":0.2366281048361023,"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."}}