{"id":"W2900048725","doi":"10.1115/ipc2018-78158","title":"Reactivating a Legacy Pipeline: Simulating ILI Run Behavior, Operation Optimization, and Project Challenges","year":2018,"lang":"en","type":"article","venue":"","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline transport; Pipeline (software); Certificate; Service (business); Work (physics); Computer science; Elevation (ballistics); Environmental science; Marine engineering; Engineering; Mechanical engineering; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001000747,0.0001417602,0.0001161704,0.000119045,0.0000890645,0.00007775458,0.00006735413,0.0001005924,0.00001565047],"category_scores_gemma":[0.0001075049,0.0001316973,0.00001475056,0.0001249108,0.00003572415,0.000349459,0.00003616016,0.000120828,0.000003963716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002436504,"about_ca_system_score_gemma":0.000007418285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001822486,"about_ca_topic_score_gemma":0.0000107227,"domain_scores_codex":[0.9993972,0.000006501895,0.0001715684,0.0001698523,0.00008056649,0.0001743799],"domain_scores_gemma":[0.9996965,0.00004266342,0.00001672025,0.0001650775,0.0000573146,0.00002173698],"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":[0.000004447451,0.00004341605,0.0007090921,0.0001520646,0.00003687375,0.000005169087,0.001865967,0.7796674,0.0106437,0.002632924,0.000450552,0.2037884],"study_design_scores_gemma":[0.0001626216,0.00005102873,0.0002943681,0.00003398746,0.00001028526,0.000008071661,0.0007486769,0.9866989,0.01098031,0.00001415067,0.0007973795,0.0002001991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6447177,0.001295111,0.3271195,0.0002436684,0.0004669959,0.0005981102,0.000002792301,0.006446181,0.01911],"genre_scores_gemma":[0.9480408,0.0002171787,0.05144602,0.000005826293,0.000152584,0.00003195666,0.000005661655,0.0000340199,0.00006594303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3033231,"threshold_uncertainty_score":0.537046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316407808648092,"score_gpt":0.2482583826648506,"score_spread":0.2250943045783697,"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."}}