{"id":"W4283832005","doi":"10.3389/fbioe.2022.855195","title":"The Emerging Applications of Nanotechnology in Neuroimaging: A Comprehensive Review","year":2022,"lang":"en","type":"review","venue":"Frontiers in Bioengineering and Biotechnology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Neuroimaging; Neurovascular bundle; Magnetic resonance imaging; Modalities; Neuroanatomy; Modality (human–computer interaction); Neuroscience; Computer science; Medicine; Medical physics; Biomedical engineering; Radiology; Artificial intelligence; Pathology; Psychology","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":[0.0004251253,0.0007669397,0.0008330497,0.002930598,0.0002468789,0.0008875318,0.000466786,0.0008343148,0.003966038],"category_scores_gemma":[0.0006022869,0.0002388166,0.0004501261,0.002414144,0.0002737692,0.001317381,0.0005413858,0.0009704309,0.001520073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003717644,"about_ca_system_score_gemma":0.001093761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007869634,"about_ca_topic_score_gemma":0.00167632,"domain_scores_codex":[0.9998758,0.00001871675,0.00001933838,0.00002354207,0.00004815575,0.00001445063],"domain_scores_gemma":[0.9996942,0.000167671,0.0000373245,0.000007363226,0.00007118999,0.000022264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003611732,0.00005869463,0.0001780616,0.02407572,0.00005706625,0.0002363459,0.00009070997,0.0003213366,0.003129161,0.003479191,0.02383291,0.9445047],"study_design_scores_gemma":[0.000006052899,0.00008028488,0.0007202554,0.004691006,0.0001067639,0.001354636,0.000077909,0.0001096482,0.0007049852,0.001885342,0.9902418,0.00002136709],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001503931,0.9981245,0.0001759215,0.0002131353,0.0001568395,0.000004510939,0.00001886567,0.000007616192,0.001148222],"genre_scores_gemma":[0.0005923057,0.998518,0.0002418856,0.0001128731,0.000135229,0.000004431409,0.0000210862,0.000001243049,0.0003729019],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003966038,"threshold_uncertainty_score":0.0132677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02469097438571987,"score_gpt":0.3230289601375497,"score_spread":0.2983379857518298,"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."}}