{"id":"W4388699664","doi":"10.7150/thno.86759","title":"In situ theranostic platform combining highly localized magnetic fluid hyperthermia, magnetic particle imaging, and thermometry in 3D","year":2023,"lang":"en","type":"article","venue":"Theranostics","topic":"Characterization and Applications of Magnetic Nanoparticles","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Medizinische Fakultät der Albert-Ludwigs-Universität Freiburg; Albert-Ludwigs-Universität Freiburg","keywords":"Magnetic particle imaging; Nanotechnology; Imaging phantom; Computer science; Materials science; Magnetic nanoparticles; Nanoparticle; Medicine; Nuclear 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005040899,0.0006359115,0.0004923604,0.0002652665,0.0002846789,0.0008587611,0.0005310579,0.0008768331,0.001550675],"category_scores_gemma":[0.0003902054,0.0003133684,0.0003950111,0.0002139753,0.0003993254,0.0009819658,0.0005103197,0.0007836867,0.0005160396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005100333,"about_ca_system_score_gemma":0.0006085345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009212967,"about_ca_topic_score_gemma":0.001859928,"domain_scores_codex":[0.9998208,0.00002707951,0.00001068807,0.00004659936,0.0000550389,0.00003976746],"domain_scores_gemma":[0.9998103,0.00004058325,0.00004783874,0.00003356455,0.00004203972,0.00002572764],"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":[0.00002537666,0.00005569296,0.000135623,0.0001500161,0.00001415242,0.00005484563,0.00002697402,0.0007551314,0.9904552,0.001127164,0.000425532,0.006774295],"study_design_scores_gemma":[0.00001399373,0.0001513301,0.0006164769,0.00001661974,0.00004042744,0.0001757961,0.0000482868,0.009191478,0.9747593,0.0006293269,0.01431949,0.00003749171],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5231811,0.01246228,0.4337154,0.00232305,0.00129128,0.0005773627,0.001417685,0.002373982,0.02265795],"genre_scores_gemma":[0.7697836,0.004550862,0.2145161,0.0008142798,0.000120315,0.0006239674,0.0009371261,0.0002159889,0.008437792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001550675,"threshold_uncertainty_score":0.005187511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009415953523227254,"score_gpt":0.2141221921671735,"score_spread":0.2047062386439463,"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."}}