{"id":"W4353047532","doi":"10.1016/j.brs.2023.03.011","title":"Automatic analysis of skull thickness, scalp-to-cortex distance and association with age and sex in cognitively normal elderly","year":2023,"lang":"en","type":"letter","venue":"Brain stimulation","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Helmut Horten Stiftung; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Universität Zürich; Eisai; Eidgenössische Technische Hochschule Zürich; Northern California Institute for Research and Education; F. Hoffmann-La Roche; University of Southern California; Pfizer; Biogen; BioClinica; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Meso Scale Diagnostics; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Scalp; Skull; Association (psychology); Audiology; Cortex (anatomy); Medicine; Psychology; Neuroscience; Anatomy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003537212,0.0001783949,0.000187666,0.0006366125,0.0001306883,0.0002647283,0.0001599377,0.0004586658,0.0005829328],"category_scores_gemma":[0.001762258,0.00007358102,0.0001013371,0.0002912981,0.0001727749,0.0001339391,0.00008447825,0.0001747783,0.0001934631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001320908,"about_ca_system_score_gemma":0.0001378164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001828843,"about_ca_topic_score_gemma":0.004587904,"domain_scores_codex":[0.999934,0.00001446828,0.0000111381,0.0000114917,0.00001979235,0.000009198613],"domain_scores_gemma":[0.9994906,0.0002344104,0.00003861045,0.00004330727,0.0001692296,0.00002379406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007100865,0.0001995931,0.4410742,0.0003100692,0.0001300978,0.01564382,0.0008315372,0.001198987,0.1724615,0.0007334184,0.01184087,0.3484751],"study_design_scores_gemma":[0.00008001043,0.0005274588,0.9159231,0.00003162532,0.000109833,0.02548108,0.0006182264,0.01371027,0.03586421,0.001859447,0.005752204,0.00004255531],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880151,0.0009552395,0.007590358,0.001218858,0.0001654885,0.00002759615,0.0003960009,0.0001386829,0.001492671],"genre_scores_gemma":[0.9932653,0.0004114685,0.004235799,0.0002776295,0.0001354341,0.00001467418,0.0001278951,0.00002271726,0.00150903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001828843,"threshold_uncertainty_score":0.00363642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01285164786141569,"score_gpt":0.2758972115783189,"score_spread":0.2630455637169032,"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."}}