{"id":"W2122760868","doi":"10.1016/j.jmmm.2006.03.060","title":"Comparison of frequency, field, and time domain ferromagnetic resonance methods","year":2006,"lang":"en","type":"article","venue":"Journal of Magnetism and Magnetic Materials","topic":"Magnetic properties of thin films","field":"Physics and Astronomy","cited_by":127,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Ferromagnetic resonance; Materials science; Permalloy; Magnetization; Resonance (particle physics); Magnetometer; Ferromagnetism; Condensed matter physics; Time domain; Magnetic domain; Nuclear magnetic resonance; Magnetic field; Optics; Physics; Atomic physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008892793,0.0002600703,0.0008244029,0.0001295589,0.00007428077,0.0001015277,0.000275632,0.00009719669,0.00713675],"category_scores_gemma":[0.00004216607,0.0002156842,0.00007854273,0.00008415882,0.0002301856,0.0001489613,0.0001527249,0.000154953,0.000007872964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006739884,"about_ca_system_score_gemma":0.00004626413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005865718,"about_ca_topic_score_gemma":0.000002825255,"domain_scores_codex":[0.9977062,0.0003225039,0.001181237,0.0002260416,0.0002671941,0.0002968713],"domain_scores_gemma":[0.9985995,0.000214933,0.0006789142,0.0002552392,0.0001320597,0.0001193688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001871109,0.0002152284,0.004650136,0.0001892752,0.00002448672,0.00001140699,0.0003173518,0.000003620562,0.881782,0.009112653,0.007534165,0.09597258],"study_design_scores_gemma":[0.007812157,0.01487598,0.1325467,0.0007863804,0.0006984372,0.0003447719,0.0008019947,0.0003112158,0.5343795,0.258886,0.04696077,0.001596067],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970364,0.01541113,0.000765144,0.0006403796,0.0004074966,0.0002631015,0.00004102989,0.00001043864,0.01209733],"genre_scores_gemma":[0.8912369,0.0001040078,0.1056832,0.00005634914,0.0003579119,0.000008961313,0.000005148495,0.00002662517,0.002520856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3474025,"threshold_uncertainty_score":0.9937708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008993410913236606,"score_gpt":0.2801987680355886,"score_spread":0.271205357122352,"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."}}