{"id":"W1994115765","doi":"10.1115/ipc2006-10454","title":"Characterization of Mechanical Damage Through Use of the Tri-Axial Magnetic Flux Leakage Technology","year":2006,"lang":"en","type":"article","venue":"Volume 2: Integrity Management; Poster Session; Student Paper Competition","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Magnetic flux leakage; Cracking; Characterization (materials science); Leakage (economics); Nondestructive testing; Pipeline (software); Pipeline transport; Structural engineering; Engineering; Key (lock); Mechanical engineering; Computer science; Materials science; Forensic engineering; Composite material; Physics; Nanotechnology","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":[0.0002710962,0.0003039913,0.0003298771,0.001990553,0.0002557834,0.000518197,0.000410726,0.000429169,0.0007347402],"category_scores_gemma":[0.001048112,0.0001422364,0.0001864658,0.0004003091,0.0003798288,0.0007827481,0.0002255677,0.0003158633,0.0003045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002834152,"about_ca_system_score_gemma":0.0001463032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007604347,"about_ca_topic_score_gemma":0.002904428,"domain_scores_codex":[0.9996457,0.00004303368,0.00001528839,0.0000398926,0.0002376383,0.00001845429],"domain_scores_gemma":[0.9989799,0.000279873,0.0003258818,0.0001094704,0.0002710618,0.00003384331],"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":[0.0002346829,0.0001658844,0.03615601,0.0003500502,0.00003740151,0.0002515436,0.0004877153,0.005839156,0.7000676,0.001269602,0.0006711511,0.2544692],"study_design_scores_gemma":[0.00003170241,0.001248467,0.1553752,0.00007283558,0.00005687375,0.002967739,0.0005463206,0.115368,0.7126619,0.001548873,0.009980779,0.000141329],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5669117,0.001133322,0.4235594,0.000273716,0.00005244465,0.0001944122,0.0002932127,0.001242865,0.006339059],"genre_scores_gemma":[0.9230319,0.0004143872,0.07388234,0.00007004786,0.00001693684,0.00005084657,0.0001712238,0.00003606311,0.002326318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001990553,"threshold_uncertainty_score":0.002457976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0134922426696411,"score_gpt":0.2347107536455244,"score_spread":0.2212185109758832,"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."}}