{"id":"W3000414575","doi":"10.4015/s1016237220500076","title":"BIOMECHANICS OF SUPERPARAMAGNETIC NANOPARTICLES FOR LASER HYPERTHERMIA","year":2020,"lang":"en","type":"article","venue":"Biomedical Engineering Applications Basis and Communications","topic":"Graphene research and applications","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ford Motor Company (Canada)","funders":"","keywords":"Nanoparticle; Materials science; Hyperthermia; Magnetic nanoparticles; Nanotechnology; Superparamagnetism; Hyperthermia Treatment; Nanocomposite; Heat transfer; Bioheat transfer; Heat generation; Magnetic field; Magnetization; Mechanics; Thermodynamics","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":[0.0001604205,0.0001740025,0.0001431655,0.0001565295,0.0002371369,0.0003244009,0.0003757358,0.0005510726,0.001322866],"category_scores_gemma":[0.0002705782,0.0002022183,0.000232072,0.00009895946,0.0003641779,0.0005044088,0.000196568,0.0002792985,0.0001926616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005010656,"about_ca_system_score_gemma":0.000316281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00084206,"about_ca_topic_score_gemma":0.0007058114,"domain_scores_codex":[0.9999279,0.00001315901,0.000002009827,0.00001152263,0.0000319445,0.00001342834],"domain_scores_gemma":[0.9999413,0.00002393856,0.00001228142,0.00000562715,0.00001082507,0.000005940832],"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":[0.00008706025,0.00008319891,0.001017329,0.0002595493,0.00002751181,0.0003585509,0.0001288222,0.1709004,0.7743788,0.04288282,0.001294121,0.008581836],"study_design_scores_gemma":[0.00001465709,0.00007749024,0.001913157,0.00001419931,0.00001186594,0.0001737232,0.00006975641,0.9205531,0.06397605,0.008895059,0.004276863,0.00002411747],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7700956,0.00466713,0.1937755,0.00204435,0.0003455946,0.0001458911,0.0002204124,0.0004545911,0.02825076],"genre_scores_gemma":[0.9898426,0.0006056463,0.006458127,0.00005759401,0.00001392939,0.00004995315,0.00003386074,0.00002343048,0.002914832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001322866,"threshold_uncertainty_score":0.004425406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02751466427038324,"score_gpt":0.2581510953306356,"score_spread":0.2306364310602524,"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."}}