{"id":"W4206882693","doi":"","title":"Finite element analysis of an incremental permeability based NDT device. Application to Dual phase steels","year":2014,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Diagnosis and Research on Alzheimer's Disease","funders":"","keywords":"Finite element method; Nondestructive testing; Permeability (electromagnetism); Materials science; Dual (grammatical number); Dual-phase steel; Computer science; Structural engineering; Engineering; Composite material; Microstructure; Physics; Chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005737842,0.0003997857,0.0006296252,0.0006297995,0.0001313183,0.0001380844,0.001030879,0.0002288842,0.0001153763],"category_scores_gemma":[0.001140798,0.0004780107,0.0002501271,0.0009559417,0.0001381065,0.0001142448,0.0006492093,0.000440677,0.000008593182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003882957,"about_ca_system_score_gemma":0.0001139185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009928932,"about_ca_topic_score_gemma":0.001734124,"domain_scores_codex":[0.9951366,0.002392229,0.0008432483,0.0007952102,0.0005091606,0.0003235264],"domain_scores_gemma":[0.9935803,0.001349378,0.0004142231,0.002917212,0.001507419,0.0002314368],"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":[0.0002067259,0.007738501,0.04761799,0.003513462,0.003887305,0.00000867059,0.01831894,0.2614522,0.4272001,0.06816211,0.0004820573,0.161412],"study_design_scores_gemma":[0.0004874742,0.000002880781,0.007793561,0.0004444117,0.0004540951,5.502153e-7,0.00004211733,0.811312,0.1755432,0.003095076,0.0002914224,0.0005332229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4335478,0.0000295565,0.5619527,0.0001947159,0.00003816609,0.0006315856,0.0002329322,0.0005357001,0.002836912],"genre_scores_gemma":[0.6766107,0.000006616865,0.3216824,0.00003041659,0.00001074425,0.0002214992,0.001381546,0.00004323396,0.00001284212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5498599,"threshold_uncertainty_score":0.9997672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172903787589167,"score_gpt":0.2707897595564512,"score_spread":0.2534993807975345,"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."}}