{"id":"W2026000969","doi":"10.1063/1.2831324","title":"Dynamical properties of spherical ferromagnetic nanoparticles","year":2008,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Characterization and Applications of Magnetic Nanoparticles","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Zeeman effect; Condensed matter physics; Ferromagnetism; SPHERES; Spin wave; Physics; Magnetic nanoparticles; Dipole; Microscopic theory; Hamiltonian (control theory); Magnetic field; Nanoparticle; Boundary value problem; Materials 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001914689,0.0002818905,0.0003267303,0.0003568951,0.0003913362,0.0004527574,0.0004528823,0.0003960104,0.001376274],"category_scores_gemma":[0.0005761491,0.0001738196,0.0004225899,0.0001731479,0.0005343843,0.0004352831,0.0003258205,0.0002459367,0.0002148939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007159458,"about_ca_system_score_gemma":0.0003781174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004125034,"about_ca_topic_score_gemma":0.002416109,"domain_scores_codex":[0.9999417,0.000009253738,0.000002600737,0.000007916879,0.00002276883,0.00001578394],"domain_scores_gemma":[0.9998446,0.00005022506,0.00002106926,0.00001818575,0.00004286168,0.00002304013],"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":[0.0001713239,0.0000923773,0.003306085,0.0002615347,0.00005717045,0.0006884242,0.0003143195,0.7623575,0.1164751,0.1039185,0.001467284,0.01089031],"study_design_scores_gemma":[0.00001222001,0.0000254103,0.0005533527,0.000004207117,0.000005977403,0.00004464357,0.00003315984,0.9929883,0.004082548,0.001818092,0.0004233026,0.000008869383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.935362,0.0003868631,0.04125686,0.000387348,0.00007080879,0.00004863054,0.0001713379,0.0001573063,0.0221588],"genre_scores_gemma":[0.9942993,0.0001214705,0.003779605,0.00003429259,0.00001178856,0.00002566075,0.0001356656,0.00003308313,0.001559161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004125034,"threshold_uncertainty_score":0.008202016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573143575907423,"score_gpt":0.1911035410643171,"score_spread":0.1753721053052428,"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."}}