{"id":"W4403566629","doi":"10.1016/j.ndteint.2024.103248","title":"Low-frequency magnetic incremental permeability for the non-destructive evaluation of hardness profile after carburization treatment with large case hardening depth","year":2024,"lang":"en","type":"article","venue":"NDT & E International","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Hardening (computing); Materials science; Case hardening; Permeability (electromagnetism); Nondestructive testing; Hardness; Composite material; Metallurgy; Forensic engineering; Engineering; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004349213,0.0001123107,0.00009182738,0.00004154928,0.000113796,0.0001062804,0.0001383171,0.00003125003,0.002396619],"category_scores_gemma":[0.00003793247,0.00006922834,0.00005004439,0.00007885332,0.00008796511,0.0001561924,0.00003781524,0.00003853348,0.00001663533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002591527,"about_ca_system_score_gemma":0.0001849212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003406073,"about_ca_topic_score_gemma":0.0003951871,"domain_scores_codex":[0.9988983,0.00004481408,0.0002263567,0.0002851957,0.0004114218,0.0001339144],"domain_scores_gemma":[0.9992433,0.00006580038,0.00006471247,0.0001903857,0.0004086725,0.00002714614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008002973,0.00107174,0.0110296,0.0004040999,0.0002907666,0.00006557082,0.01086906,0.001121293,0.8389257,0.00699034,0.0003933142,0.1280382],"study_design_scores_gemma":[0.004112262,0.002049899,0.03096827,0.0003899266,0.0009583341,0.0005351788,0.003128305,0.60762,0.3447754,0.002838988,0.002035125,0.0005882842],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889815,0.0002736167,0.00721185,0.0003287081,0.0004354658,0.001317033,0.0005444498,0.00002379943,0.0008835052],"genre_scores_gemma":[0.995166,0.000006526916,0.001887448,0.00001907422,0.0001405509,0.002384236,0.00008271505,0.0000133292,0.0003001417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6064987,"threshold_uncertainty_score":0.9985153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02190376901025192,"score_gpt":0.2957288130185515,"score_spread":0.2738250440082995,"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."}}