{"id":"W2435986804","doi":"10.3390/bios6020025","title":"Optimal Magnetic Field for Crossing Super-Para-Magnetic Nanoparticles through the Brain Blood Barrier: A Computational Approach","year":2016,"lang":"en","type":"article","venue":"Biosensors","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Magnetic field; Blood–brain barrier; Nanoparticle; Magnetic nanoparticles; Materials science; Drug delivery; Superparamagnetism; Nanotechnology; Membrane; Computer science; Physics; Chemistry; Neuroscience; Magnetization","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":[0.0002912209,0.0003576367,0.0008198692,0.0005838787,0.0005152539,0.000932059,0.0009776508,0.001631446,0.003459367],"category_scores_gemma":[0.001081659,0.0004173223,0.0006789377,0.0003555786,0.0006471531,0.0007217027,0.0005866446,0.0005661905,0.0002866231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006942078,"about_ca_system_score_gemma":0.001369747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004991445,"about_ca_topic_score_gemma":0.004933962,"domain_scores_codex":[0.9999225,0.00002516953,0.000002785302,0.00001067375,0.00001927569,0.00001956236],"domain_scores_gemma":[0.9996717,0.0002072025,0.00004051244,0.00001364602,0.00004146446,0.00002544447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003042832,0.00004106439,0.0003007863,0.00005175449,0.00001365487,0.00005598781,0.0000193732,0.9890118,0.001213808,0.006875115,0.0002158198,0.002170361],"study_design_scores_gemma":[0.00001079205,0.000007845409,0.00005453328,0.000003582929,0.00000421191,0.00000545589,0.000009029535,0.998675,0.0001222036,0.000868403,0.0002364557,0.000002326395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3915249,0.002154095,0.5410727,0.003777813,0.0002299899,0.0002772631,0.0004681932,0.000291058,0.06020387],"genre_scores_gemma":[0.9013325,0.0009145118,0.08925338,0.0004051368,0.00007908619,0.0003509905,0.0001528785,0.0001174438,0.007394002],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004991445,"threshold_uncertainty_score":0.01157272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01733310372663805,"score_gpt":0.2366782138316839,"score_spread":0.2193451101050459,"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."}}