{"id":"W326265742","doi":"10.5006/c2003-03172","title":"Developing a Baseline Inline Inspection Program with Design and Operational Decisions on the Use of a High Resolution Magnetic Flux Leakage Tool","year":2003,"lang":"en","type":"article","venue":"","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; Petroleum Technology Alliance Canada","funders":"","keywords":"Magnetic flux leakage; Leakage (economics); Baseline (sea); Flux (metallurgy); Nuclear engineering; Reliability engineering; Magnetic flux; Materials science; Engineering; Electrical engineering; Magnetic field; Metallurgy; Magnet; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009786501,0.0006551188,0.0004895241,0.001156481,0.001686615,0.002212311,0.002510878,0.001144532,0.006017766],"category_scores_gemma":[0.009003255,0.0004914388,0.0002952615,0.0004495776,0.0008239874,0.002948686,0.001301488,0.001258581,0.001140586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003753486,"about_ca_system_score_gemma":0.01130149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01467765,"about_ca_topic_score_gemma":0.02848395,"domain_scores_codex":[0.9929398,0.002379715,0.0003378467,0.0007850148,0.002680476,0.000877219],"domain_scores_gemma":[0.9882101,0.001336544,0.001012487,0.001257972,0.006912354,0.00127053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00163995,0.01107217,0.03913178,0.0005809541,0.00005828528,0.001496142,0.004215632,0.03985576,0.1977919,0.005755328,0.02077235,0.6776298],"study_design_scores_gemma":[0.001555496,0.05163237,0.1231142,0.0006255804,0.0001812071,0.001443138,0.01835548,0.2833738,0.3277293,0.005723386,0.1858367,0.0004293551],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4342453,0.0001784827,0.4942632,0.002155743,0.0001538413,0.007879775,0.000692534,0.0106773,0.0497538],"genre_scores_gemma":[0.587229,0.00009540324,0.3995337,0.000302929,0.00002901737,0.0007733144,0.0006534093,0.0003056545,0.01107753],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01467765,"threshold_uncertainty_score":0.05175656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06695639068308919,"score_gpt":0.2603712087466701,"score_spread":0.1934148180635809,"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."}}