{"id":"W2201777441","doi":"10.1109/tmag.2015.2476489","title":"A 3-D Finite-Element Analysis of Giant Magnetoimpedance Thin-Film Magnetic Sensors","year":2015,"lang":"fi","type":"article","venue":"IEEE Transactions on Magnetics","topic":"Magnetic properties of thin films","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Physics; Computer science; Algorithm","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006822969,0.0009713169,0.001457335,0.001042171,0.0002567698,0.0001941602,0.001024613,0.0003398711,0.01136962],"category_scores_gemma":[0.0000336859,0.00100019,0.001073017,0.002310282,0.0006093211,0.0001917886,0.00002431809,0.001002009,0.00072206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000191895,"about_ca_system_score_gemma":0.0005067991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001591515,"about_ca_topic_score_gemma":0.0001811719,"domain_scores_codex":[0.9941178,0.0004550465,0.001753212,0.001099526,0.001432081,0.001142342],"domain_scores_gemma":[0.9955981,0.0003892333,0.0006260632,0.00194412,0.0006736526,0.0007687668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000512909,0.002112019,0.0002287231,0.0001674467,0.001885053,0.00002285248,0.003692196,0.9142184,0.001090887,0.000377242,0.001921552,0.07377078],"study_design_scores_gemma":[0.003264745,0.006189803,0.00109099,0.0001816982,0.01114368,0.000003964923,0.003074733,0.946353,0.01319156,0.000300294,0.013749,0.001456515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2135679,0.00704814,0.7191222,0.003922213,0.007658389,0.003855323,0.007121109,0.0003792899,0.03732541],"genre_scores_gemma":[0.9569788,0.0003348178,0.007288503,0.0002372551,0.0001810646,0.0001043144,0.00006289206,0.0001225014,0.03468983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7434109,"threshold_uncertainty_score":0.9992449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02393309575095388,"score_gpt":0.2427028615605889,"score_spread":0.218769765809635,"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."}}