{"id":"W2163229828","doi":"10.1109/solsen.1992.228317","title":"Modeling of magnetic-field sensitive devices using circuit simulation tools","year":2003,"lang":"en","type":"article","venue":"","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Magnetic field; Field (mathematics); Computer science; Simple (philosophy); Electronic engineering; Variety (cybernetics); Electrical engineering; Engineering; Physics; Artificial intelligence; Mathematics","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":[0.0001881247,0.0005669546,0.0005467234,0.0003813739,0.0003359315,0.0007271792,0.001267994,0.001013814,0.004514534],"category_scores_gemma":[0.0005784158,0.0003025791,0.0005648442,0.0003598476,0.0002950601,0.0008479551,0.0003065498,0.0004947478,0.001089245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005640085,"about_ca_system_score_gemma":0.0005312931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00240776,"about_ca_topic_score_gemma":0.002107088,"domain_scores_codex":[0.9998255,0.00003405681,0.000008961637,0.00002267501,0.00008987643,0.00001890204],"domain_scores_gemma":[0.9998659,0.00006180484,0.00001441661,0.00002147442,0.00003077887,0.000005654925],"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":[0.00003202067,0.00003047841,0.0001794999,0.0001351465,0.00002978268,0.0001255566,0.00007114911,0.9368346,0.01653257,0.03269957,0.001513524,0.01181608],"study_design_scores_gemma":[0.000005237797,0.00001163063,0.00003751621,0.000006682323,0.000005400003,0.00002686386,0.000004815809,0.9897158,0.002942998,0.00303788,0.004200551,0.000004609139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02376372,0.0005731408,0.9461064,0.0003289406,0.0001053378,0.0001542031,0.000644275,0.002048957,0.02627512],"genre_scores_gemma":[0.6849324,0.002367213,0.2679273,0.0002934651,0.00009610541,0.001162387,0.001030262,0.0005564123,0.04163435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004514534,"threshold_uncertainty_score":0.01510268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04003288713980622,"score_gpt":0.2571586399570771,"score_spread":0.2171257528172709,"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."}}