{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001019434,0.0006313499,0.0005612409,0.0005280604,0.0004836063,0.001259686,0.0009981275,0.001466838,0.002626132],"category_scores_gemma":[0.002200176,0.0005076022,0.0006965214,0.0005366814,0.00070831,0.0007725588,0.0005089316,0.001062617,0.0003064098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00141502,"about_ca_system_score_gemma":0.00138954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02945506,"about_ca_topic_score_gemma":0.02608417,"domain_scores_codex":[0.9997094,0.00009122922,0.00001273266,0.00004900727,0.00005231968,0.00008519238],"domain_scores_gemma":[0.998769,0.0007248818,0.00009043696,0.0001021775,0.0001994447,0.0001140529],"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":[0.00007428005,0.000107676,0.003053225,0.00002142058,0.000008877021,0.00007070495,0.00004371849,0.9931263,0.0007730942,0.0004520003,0.00024312,0.002025501],"study_design_scores_gemma":[0.00001881742,0.0001151533,0.0009949065,0.000004674515,0.000007666998,0.00001151871,0.00008442482,0.9974533,0.0006844015,0.0002392236,0.0003778518,0.000008015895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793822,0.0000589154,0.00997758,0.000209606,0.00002164889,0.0001160127,0.0006097128,0.0003426882,0.009281791],"genre_scores_gemma":[0.9882533,0.000066026,0.008252134,0.00003375676,0.00000386785,0.00007607588,0.0004530965,0.00006274103,0.002799073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02945506,"threshold_uncertainty_score":0.05856723,"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."}}