{"id":"W2549301847","doi":"10.1115/ipc2016-64224","title":"The Development and Use of an Absolute Depth Size Specification in ILI-Based Crack Integrity Management of Pipelines","year":2016,"lang":"en","type":"article","venue":"","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petroleum Technology Alliance Canada","funders":"","keywords":"Sizing; Pipeline (software); Ranking (information retrieval); Computer science; Pipeline transport; Excavation; Line (geometry); Algorithm; Engineering; Mechanical engineering; Mathematics; Artificial intelligence; Geotechnical engineering; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01347236,0.0007692365,0.0006351955,0.003254122,0.0005561226,0.002859121,0.003123957,0.0008769434,0.00233167],"category_scores_gemma":[0.02541458,0.000826866,0.0009035661,0.001494202,0.0009457807,0.003184358,0.002270516,0.002225253,0.002226339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481324,"about_ca_system_score_gemma":0.002512798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004969794,"about_ca_topic_score_gemma":0.005895955,"domain_scores_codex":[0.9902517,0.001687785,0.001323775,0.001138949,0.005231692,0.0003660874],"domain_scores_gemma":[0.9777459,0.003972769,0.002784312,0.003350028,0.01178556,0.0003613755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002838818,0.00040254,0.02177566,0.0006340839,0.00008598005,0.000243175,0.001356621,0.140525,0.1169557,0.04837682,0.00906639,0.6602942],"study_design_scores_gemma":[0.0000332183,0.0007822577,0.01149699,0.0002395132,0.00004934242,0.0003982322,0.000379283,0.8274689,0.1174271,0.005935624,0.03560684,0.0001826801],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007987916,0.00005502793,0.9854875,0.0000823795,0.00002264121,0.0001546058,0.0002289985,0.003721044,0.002259907],"genre_scores_gemma":[0.1244951,0.00009196325,0.8709316,0.0001146866,0.00002574193,0.0003069389,0.001359851,0.0005350133,0.002139052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01347236,"threshold_uncertainty_score":0.07124954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04755274036443231,"score_gpt":0.2665275935864009,"score_spread":0.2189748532219686,"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."}}