{"id":"W2899959377","doi":"10.1115/ipc2018-78642","title":"Development of Pinhole Corrosion Management Using MFL","year":2018,"lang":"en","type":"article","venue":"","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Desjardins","funders":"","keywords":"Sizing; Magnetic flux leakage; Pinhole (optics); Pipeline (software); Integrity management; Pipeline transport; Computer science; Engineering; Reliability engineering; Mechanical engineering; Optics","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":[0.00008559815,0.00007463849,0.00007394967,0.00007044809,0.0000339577,0.000005805167,0.00008935958,0.00002410109,0.00006522968],"category_scores_gemma":[0.000003577536,0.0000728649,0.00001178316,0.0001116573,0.00003204526,0.00004534746,0.00006711453,0.00002989307,0.00001876036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007573889,"about_ca_system_score_gemma":0.000006195219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004089905,"about_ca_topic_score_gemma":0.000003862324,"domain_scores_codex":[0.9995576,0.000003555446,0.0001517004,0.00008305975,0.00009016866,0.0001139864],"domain_scores_gemma":[0.9997825,0.00000585515,0.00001898287,0.0001364465,0.00003488158,0.00002133536],"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":[0.000005421824,0.0000294261,0.00220177,0.0001941111,0.0000253731,0.000003120567,0.0004823658,0.00003897637,0.9579775,0.01911003,0.0007205617,0.01921138],"study_design_scores_gemma":[0.0001582128,0.00003305739,0.006655886,0.0001999527,0.00001174392,0.000005786454,0.00008146273,0.007114202,0.9738612,0.0105598,0.001067689,0.0002509612],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5098763,0.000005349648,0.4196059,9.517877e-7,0.00008792982,0.00008468481,2.683884e-7,0.0005095386,0.06982902],"genre_scores_gemma":[0.4314064,6.425814e-7,0.5685515,0.000004031405,0.00001040379,0.000002295281,4.380562e-7,0.00001027136,0.00001399875],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1489455,"threshold_uncertainty_score":0.2971344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02983745664984075,"score_gpt":0.263806950483525,"score_spread":0.2339694938336842,"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."}}