{"id":"W3098717450","doi":"10.1029/2020sw002609","title":"Modeling Geomagnetic Interference on Railway Signaling Track Circuits","year":2020,"lang":"en","type":"article","venue":"Space Weather","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Track circuit; Ballast; Earth's magnetic field; Geomagnetically induced current; Electronic circuit; Electrical engineering; Track (disk drive); Equivalent circuit; Relay; Engineering; Electrical impedance; Admittance; SIGNAL (programming language); Electronic engineering; Computer science; Voltage; Power (physics); Geomagnetic storm; Physics; Magnetic field; Mechanical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00005367999,0.0002136003,0.0001793979,0.00005192991,0.00002935533,0.00004577803,0.0001693129,0.000086655,0.00009745046],"category_scores_gemma":[0.00002907917,0.0002165951,0.00006729094,0.0001519635,0.00001150844,0.00006322357,0.00001561684,0.0002780521,0.0002447848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003642165,"about_ca_system_score_gemma":0.000008482783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006074107,"about_ca_topic_score_gemma":0.000002876152,"domain_scores_codex":[0.9991884,0.000009794756,0.0001534175,0.000222272,0.0001320686,0.0002940921],"domain_scores_gemma":[0.999612,0.00002673149,0.00001018774,0.0001871173,0.00001871135,0.0001452522],"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":[0.000003612301,0.000006423369,0.0000176817,0.00004579219,0.00001734474,0.000007252002,0.0009026975,0.9708382,0.02504346,0.0002869624,0.0001343521,0.002696193],"study_design_scores_gemma":[0.000190499,0.00008826498,0.00001685017,0.00006750035,0.00001073603,0.000002341538,0.0001052785,0.9967401,0.001936686,0.00007147557,0.0005131165,0.0002571541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6084988,0.0004276068,0.3779217,0.0003544867,0.0003115066,0.0001311368,0.0000111682,0.001075309,0.01126832],"genre_scores_gemma":[0.998565,0.00002985228,0.0007354221,0.0001192837,0.0001826641,0.000009100194,0.000003938906,0.00008446162,0.0002702408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3900662,"threshold_uncertainty_score":0.8832494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01585397755972608,"score_gpt":0.1966215898004092,"score_spread":0.1807676122406831,"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."}}