{"id":"W2900448956","doi":"10.1115/ipc2018-78352","title":"Methodologies for Establishing the Probability of Pipeline Failure at Slope Crossings","year":2018,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Probabilistic logic; Pipeline transport; Reliability (semiconductor); Pipeline (software); Computer science; Reliability engineering; Engineering; Forensic engineering; Geotechnical engineering; Risk analysis (engineering); Data mining; Artificial intelligence","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":[0.0009278684,0.0001193292,0.0002353248,0.00003151867,0.000195985,0.00006674771,0.0002815578,0.0001246619,0.0003118143],"category_scores_gemma":[0.001716275,0.00006395664,0.0001664715,0.0002347415,0.0005155297,0.0001655511,0.00008018206,0.0001393977,0.000004943302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005738703,"about_ca_system_score_gemma":0.0000114922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002008778,"about_ca_topic_score_gemma":0.001335958,"domain_scores_codex":[0.9991753,0.00005605589,0.000294691,0.0001712246,0.0001092144,0.0001935369],"domain_scores_gemma":[0.998333,0.0009915556,0.00004196312,0.000347293,0.000258886,0.00002727851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009972866,0.0001243552,0.008049988,0.003978208,0.00144906,0.000001421249,0.02323045,0.07975329,0.3757903,0.02542738,0.2902604,0.1909379],"study_design_scores_gemma":[0.0004425069,0.0001413656,0.003687543,0.00005259672,0.0002210214,0.000008676257,0.001828176,0.1230198,0.6991121,0.07829598,0.0927415,0.0004487181],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8041058,0.0001833351,0.1870039,0.002441317,0.0004379279,0.0004431014,0.00003214099,0.000317791,0.005034682],"genre_scores_gemma":[0.8540395,0.000008823677,0.1444726,0.00007243712,0.0001740514,0.00001836809,0.000006476524,0.00001179739,0.001195891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3233218,"threshold_uncertainty_score":0.3414148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05342813102305436,"score_gpt":0.2987733420380211,"score_spread":0.2453452110149668,"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."}}