{"id":"W2136641903","doi":"10.4015/s1016237210002158","title":"ROLE OF NÉEL AND BROWNIAN RELAXATION MECHANISMS FOR WATER-BASED <font>Fe<sub>3</sub>O<sub>4</sub></font> NANOPARTICLE FERROFLUIDS IN HYPERTHERMIA","year":2010,"lang":"en","type":"article","venue":"Biomedical Engineering Applications Basis and Communications","topic":"Characterization and Applications of Magnetic Nanoparticles","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Science Council","keywords":"Relaxation (psychology); Ferrofluid; Materials science; Brownian motion; Nanoparticle; Aqueous solution; Analytical Chemistry (journal); Absorption (acoustics); Specific absorption rate; Polydimethylsiloxane; Range (aeronautics); Magnetic field; Nuclear magnetic resonance; Thermodynamics; Chemistry; Nanotechnology; Physics; Composite material; Physical chemistry; Chromatography","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":[0.0001903603,0.0002997321,0.0001919634,0.0001140742,0.0001124476,0.0001557752,0.0001389307,0.0002966993,0.00036006],"category_scores_gemma":[0.0003100049,0.0001828341,0.0001315965,0.00004872173,0.0003123817,0.0003527598,0.00018287,0.0002174648,0.000111417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000173413,"about_ca_system_score_gemma":0.0001234817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003145246,"about_ca_topic_score_gemma":0.0004656534,"domain_scores_codex":[0.9999341,0.00001771244,0.000003885986,0.00001244603,0.00001616,0.00001558546],"domain_scores_gemma":[0.9998708,0.00005666914,0.00003745637,0.000006684522,0.00001611029,0.00001236662],"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":[0.00004739347,0.000005696122,0.0001484387,0.00003274514,0.000002379681,0.00002660663,0.00001876801,0.0001374405,0.9983292,0.00007312427,0.000009919235,0.001168368],"study_design_scores_gemma":[0.00000459807,0.0000798605,0.0009839,0.000002717198,0.000009073746,0.00005656194,0.00001611402,0.002014271,0.9964484,0.00004514645,0.0003345971,0.000004832321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915488,0.001101562,0.006336755,0.00006656555,0.00001484155,0.00001496152,0.00001537217,0.00003450491,0.0008665819],"genre_scores_gemma":[0.9961217,0.0004707472,0.002751983,0.00002743789,0.000004769578,0.00001058781,0.00001308616,0.000008277388,0.0005915069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00036006,"threshold_uncertainty_score":0.001258254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00640048118295167,"score_gpt":0.1965905573669922,"score_spread":0.1901900761840406,"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."}}