{"id":"W4401664596","doi":"10.1007/s00339-024-07803-1","title":"Synthesis, characterization, and biocompatibility of pure and doped magnetite nanoparticles for magnetic hyperthermia in cancer treatment","year":2024,"lang":"en","type":"article","venue":"Applied Physics A","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hyperthermia; Magnetic hyperthermia; Biocompatibility; Materials science; Nanoparticle; Nanotechnology; Magnetic nanoparticles; Magnetite; Hyperthermia therapy; Hemolysis; Biomedical engineering; Medicine; Internal medicine","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":[0.000116248,0.0001219869,0.000201572,0.00002966251,0.0000328907,0.00005414274,0.00005032954,0.00002904961,0.00003876848],"category_scores_gemma":[0.000006086476,0.0001016578,0.00001914071,0.0001413854,0.0001002056,0.00008160441,0.00002824084,0.00002087783,0.000006054119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003449684,"about_ca_system_score_gemma":0.00004822369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007551337,"about_ca_topic_score_gemma":0.00004089621,"domain_scores_codex":[0.9992262,0.00002446022,0.0002002634,0.0003067953,0.00007974576,0.0001625314],"domain_scores_gemma":[0.9995766,0.0001639055,0.0000396497,0.0001532783,0.00002363316,0.00004290339],"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":[0.00006800958,0.0001084676,0.0007842339,0.0001560595,0.000005150583,8.851036e-7,0.0004376467,0.00003238963,0.9179436,0.001360974,0.00000404325,0.07909852],"study_design_scores_gemma":[0.0003987865,0.00009253167,0.006590553,0.00005666456,0.00004419917,4.550291e-7,0.0000281305,0.002786321,0.9886022,0.001091784,0.0001957291,0.0001126599],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980855,0.0008145227,0.00006424027,0.0001687876,0.00004609722,0.0005882616,0.000186281,0.00003239503,0.00001392762],"genre_scores_gemma":[0.9990456,0.0001163711,0.0002563349,0.00002550892,0.00004193759,0.0004694017,0.000007201889,0.00001634736,0.00002131143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07898585,"threshold_uncertainty_score":0.4145486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01503543469472031,"score_gpt":0.2419618894286495,"score_spread":0.2269264547339292,"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."}}