{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002981797,0.0002080817,0.0002470397,0.0002369263,0.0001770074,0.00005104931,0.0003653389,0.0001777346,0.000005229924],"category_scores_gemma":[0.00005961231,0.0002082968,0.00005522497,0.0004332146,0.0001850911,0.0001127181,0.0001010296,0.0002276964,0.000008133146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003326109,"about_ca_system_score_gemma":0.00003171996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000113921,"about_ca_topic_score_gemma":0.00004875521,"domain_scores_codex":[0.9987274,0.00002299865,0.0005425026,0.0002645306,0.0001565943,0.0002859231],"domain_scores_gemma":[0.9985785,0.0002040952,0.00006335002,0.0008607722,0.00009206918,0.0002012],"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":[0.000005280637,0.0001728504,0.00004870159,0.00006385714,0.00001364552,5.231578e-8,0.0001173379,0.0003296618,0.9378645,0.00774045,0.00001578635,0.05362789],"study_design_scores_gemma":[0.0005712285,0.00003560354,0.004190711,0.00003223186,0.00003300517,0.000003820302,0.00005828364,0.2027901,0.7857226,0.0007508397,0.005590585,0.0002210278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413614,0.0003548544,0.05585616,0.001297439,0.00003478841,0.0007548015,0.00008593745,0.0002249545,0.0000296224],"genre_scores_gemma":[0.9866,0.0003930371,0.01079172,0.00004118337,0.00003122522,0.001881574,0.000211569,0.00004804356,0.000001646857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2024604,"threshold_uncertainty_score":0.8494098,"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."}}