{"id":"W3136631110","doi":"","title":"The effect of bulk stresses on magnetic flux leakage signals","year":2001,"lang":"en","type":"article","venue":"Insight - Non-Destructive Testing and Condition Monitoring","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Magnetic flux leakage; Leakage (economics); Materials science; Flux (metallurgy); Magnetic flux; Condensed matter physics; Electrical engineering; Physics; Metallurgy; Engineering; Magnetic field; Magnet; Economics","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":[0.0002903208,0.0005251895,0.000434511,0.0002881742,0.000291035,0.0006484097,0.0002858859,0.0003884864,0.003004561],"category_scores_gemma":[0.001982552,0.0001992485,0.0001880374,0.0002199188,0.0004929178,0.0008695787,0.0003229851,0.0004076786,0.000492965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000268521,"about_ca_system_score_gemma":0.0001799794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002955108,"about_ca_topic_score_gemma":0.0004774457,"domain_scores_codex":[0.9996446,0.00005004563,0.00001875434,0.00007282069,0.0001442612,0.00006952351],"domain_scores_gemma":[0.9975847,0.001337754,0.0003160075,0.0002091171,0.0003847304,0.0001677223],"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":[0.001266617,0.00007027396,0.002058713,0.0001014597,0.00002574659,0.0002815151,0.0002139666,0.001705094,0.9723173,0.0004165471,0.0002000993,0.02134267],"study_design_scores_gemma":[0.00003066362,0.001264571,0.01870015,0.00002291451,0.00006453655,0.0006179771,0.0001319813,0.01737482,0.96006,0.0004471901,0.001265251,0.00001988752],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725874,0.000381503,0.0230302,0.00009560578,0.00005835598,0.00002354182,0.0001840119,0.0004227427,0.003216738],"genre_scores_gemma":[0.9968364,0.00008765134,0.001349065,0.00004275217,0.00002394324,0.000008853248,0.000087022,0.00006259919,0.001501641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003004561,"threshold_uncertainty_score":0.01005125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421680290448357,"score_gpt":0.2518074699832791,"score_spread":0.2375906670787955,"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."}}