{"id":"W4313170328","doi":"10.1115/ipc2022-86760","title":"Literature Review of Repair Technologies for Wrinkled Pipelines","year":2022,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petroleum Technology Alliance Canada","funders":"","keywords":"Bending; Structural engineering; Pipeline transport; Wrinkle; Pipeline (software); Deformation (meteorology); Composite number; Finite element method; Engineering; Stress (linguistics); Materials science; Composite material; Mechanical 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":[],"consensus_categories":[],"category_scores_codex":[0.0001625127,0.0000754523,0.0002110331,0.00006870306,0.00004990811,0.0000044339,0.0001564206,0.000047373,0.0002760457],"category_scores_gemma":[0.000170746,0.00005509072,0.0002512778,0.0004353995,0.00002513317,0.00003660977,0.00005509328,0.0001800368,8.74013e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002363603,"about_ca_system_score_gemma":0.000004568743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003864466,"about_ca_topic_score_gemma":0.00000320422,"domain_scores_codex":[0.9994857,0.00001217151,0.0002227189,0.0001006689,0.00009151259,0.00008726616],"domain_scores_gemma":[0.999601,0.00005831889,0.00002203645,0.0002305806,0.00007946618,0.000008575882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000864034,0.0001550499,0.0007241305,0.1594609,0.001415905,0.00002023212,0.0006924911,0.03929469,0.01090984,0.036852,0.6558294,0.09455889],"study_design_scores_gemma":[0.0005401794,0.000290241,0.0001312097,0.005416381,0.0004476836,0.00007490294,0.002154818,0.1099137,0.03598364,0.01725018,0.8269995,0.0007975739],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02005295,0.9468784,0.005200038,0.009070804,0.001152156,0.001652176,0.0003603081,0.006978999,0.008654146],"genre_scores_gemma":[0.6803573,0.2656091,0.04570702,0.001169671,0.0001441074,0.0007995944,0.0002870818,0.00006454453,0.005861609],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6812693,"threshold_uncertainty_score":0.3022507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009313454558747,"score_gpt":0.2384480828295891,"score_spread":0.2283549482840016,"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."}}