{"id":"W2799684628","doi":"10.5006/c2017-09456","title":"Long Term Structural Integrity Considerations for Abandoned Pipelines","year":2017,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline transport; Term (time); Structural integrity; Integrity management; Computer science; Forensic engineering; Engineering; Structural engineering; Mechanical engineering","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":[0.00009188714,0.0001446921,0.0002188906,0.00004448276,0.000600621,0.000294983,0.0001861991,0.0001271305,0.0004827542],"category_scores_gemma":[0.0005147053,0.0001058507,0.0001757037,0.00002254888,0.0001309878,0.0002967883,0.00002911996,0.0002253947,0.00001141478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003002445,"about_ca_system_score_gemma":0.00001325583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000213617,"about_ca_topic_score_gemma":0.002019721,"domain_scores_codex":[0.9993362,0.000009291488,0.0002269587,0.0001617813,0.0000798384,0.0001858898],"domain_scores_gemma":[0.9991492,0.0001747474,0.00003817822,0.0004382381,0.000135906,0.0000637416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003014121,0.0001289443,0.5609713,0.002415096,0.004031025,0.00006693691,0.003800571,0.02837723,0.07869826,0.1442915,0.05243428,0.1244835],"study_design_scores_gemma":[0.001592923,0.00004971256,0.626501,0.00006138396,0.0002778977,0.00005306652,0.000162826,0.2369352,0.05740945,0.07571333,0.0003885658,0.0008546803],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846572,0.00009148238,0.01035491,0.001220216,0.0008668444,0.000254641,0.00004563767,0.0002717582,0.002237299],"genre_scores_gemma":[0.994,0.00002063708,0.005195093,0.00005303156,0.0002236896,0.00001872452,0.00001627689,0.00001204507,0.0004605376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.208558,"threshold_uncertainty_score":0.528582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04166817993794474,"score_gpt":0.3016937155278269,"score_spread":0.2600255355898822,"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."}}