{"id":"W2280923908","doi":"10.1115/ipc2002-27056","title":"Development of 36” EmatScan® Crack Detection (CD) Tool","year":2002,"lang":"en","type":"article","venue":"4th International Pipeline Conference, Parts A and B","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Pipeline transport; Pipeline (software); Electromagnetic acoustic transducer; Welding; Stress corrosion cracking; Transducer; Acoustic emission; Natural gas; Cracking; Hydrostatic pressure; Hydrostatic test; Engineering; Materials science; Stress (linguistics); Nominal Pipe Size; Mechanical engineering; Structural engineering; Corrosion; Acoustics; Metallurgy; Composite material; Electrical engineering; Ultrasonic testing; Ultrasonic sensor","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009403544,0.0001246317,0.0001331728,0.0001144364,0.000036724,0.00003500884,0.0001188374,0.00005062763,0.0003794854],"category_scores_gemma":[0.00005962616,0.0001212315,0.00002338112,0.00006358536,0.00004173501,0.0001215733,0.00003978818,0.00009661889,0.00002060575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003718486,"about_ca_system_score_gemma":0.00001200793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000657693,"about_ca_topic_score_gemma":0.00003133528,"domain_scores_codex":[0.9992495,0.00000816687,0.0003148972,0.0001402619,0.0001696466,0.0001175377],"domain_scores_gemma":[0.9996049,0.00003086018,0.00006171409,0.00009263766,0.0001722608,0.000037598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009607684,0.0003631461,0.02292843,0.0005044079,0.0003637193,0.00002959843,0.00386402,0.0002052314,0.2504184,0.08511545,0.01003466,0.6260769],"study_design_scores_gemma":[0.002463758,0.0002117165,0.08568915,0.001118967,0.00008835361,0.0002390183,0.0003053106,0.4539504,0.2533838,0.09266909,0.1077536,0.002126727],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8432981,0.00006921563,0.09633239,0.00007873143,0.000452619,0.0001650627,0.0000152963,0.0004093881,0.05917916],"genre_scores_gemma":[0.9209628,0.00003201065,0.07867371,0.00001500403,0.00007386828,0.00002162722,0.000007858064,0.00001283745,0.0002003116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6239502,"threshold_uncertainty_score":0.4943677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03795605062536065,"score_gpt":0.2494914519989425,"score_spread":0.2115354013735819,"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."}}