{"id":"W4230058568","doi":"10.1002/9781118633953.ch3","title":"Rotating Reference Frames and Resonance","year":2014,"lang":"en","type":"other","venue":"Magnetic Resonance Imaging","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Larmor precession; Physics; Field (mathematics); Perpendicular; Magnetic field; Moment (physics); Resonance (particle physics); Rotation (mathematics); Reference frame; Magnetostatics; Harmonic; Nuclear magnetic resonance; Computational physics; Quantum electrodynamics; Classical mechanics; Frame (networking); Acoustics; Atomic physics; Mathematics; Geometry; Computer science; Quantum mechanics","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":[0.00007792241,0.0002919706,0.0002976535,0.00007406417,0.0001403654,0.0001142949,0.000245405,0.0000546401,0.003033897],"category_scores_gemma":[0.000007795798,0.000294477,0.00004154965,0.0001188344,0.0001566799,0.00004095395,0.00009649427,0.0003263886,0.0001824862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007989021,"about_ca_system_score_gemma":0.00003078732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006900955,"about_ca_topic_score_gemma":0.00001598384,"domain_scores_codex":[0.9986939,0.00003460588,0.0002181205,0.0005424669,0.0001534295,0.0003574976],"domain_scores_gemma":[0.9992084,0.00005799583,0.0001744281,0.0004624957,0.00002106541,0.00007562662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000238778,0.00002027174,0.0318033,0.00003000071,0.000003305369,0.000001489925,0.00003887581,2.17543e-7,0.0001108616,0.04035952,0.1542732,0.7733566],"study_design_scores_gemma":[0.0002185325,0.00001375008,0.00622501,0.000368471,0.00001707906,0.000001134681,0.00003292038,0.000748384,0.00005505889,0.003845072,0.9881478,0.0003267939],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003813392,0.04319079,0.004181339,0.0003673799,0.00009084876,0.0003588285,0.00009794729,0.0001637848,0.9511678],"genre_scores_gemma":[0.01784312,0.0003631812,0.02419523,0.0002921061,0.001180545,0.0003192206,0.00005726227,0.0004747173,0.9552746],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8338746,"threshold_uncertainty_score":0.9999507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006401277618391729,"score_gpt":0.2857759843743805,"score_spread":0.2793747067559888,"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."}}