{"id":"W2899574200","doi":"10.1115/ipc2018-78604","title":"An ILI Based Program That Prevents Reoccurrence of Post ILI Failures Seen in Industry","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":"TransCanada (Canada)","funders":"","keywords":"Pipeline (software); Computer science; Incident report; Risk analysis (engineering); Computer security; Business","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":[0.0001496034,0.0001296919,0.0001952827,0.0001186482,0.00002596116,0.00002327355,0.0002422992,0.0002921441,0.0007590402],"category_scores_gemma":[0.00005110626,0.0001019243,0.00007062098,0.0003560172,0.000159359,0.0002468125,0.00001981896,0.0003941016,0.000009859975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003381987,"about_ca_system_score_gemma":0.00002310893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001128496,"about_ca_topic_score_gemma":0.001289466,"domain_scores_codex":[0.9991856,0.00004437297,0.000223677,0.0001858389,0.0001633643,0.000197126],"domain_scores_gemma":[0.999473,0.0000383433,0.00002835064,0.0003105197,0.00007920399,0.00007059352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001885787,0.001264424,0.6267061,0.001102188,0.0004146887,0.00001974572,0.002963564,0.03902942,0.04136327,0.0005687359,0.001716712,0.2846626],"study_design_scores_gemma":[0.0008889689,0.0009099247,0.304749,0.0003825777,0.00009992305,0.000006638747,0.001869912,0.4447057,0.2423138,0.0007104398,0.002542291,0.0008208452],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979637,0.00002777283,0.0001506044,0.0001188632,0.0001085646,0.0001894906,0.00001802003,0.0001609072,0.001262131],"genre_scores_gemma":[0.9971259,0.000003396203,0.002695649,0.00003089083,0.00003954364,0.00001322361,0.00002041534,0.000008511241,0.00006243151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4056763,"threshold_uncertainty_score":0.8310958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01829730568291025,"score_gpt":0.2866623579991117,"score_spread":0.2683650523162014,"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."}}