{"id":"W3199057616","doi":"10.1002/mrm.29011","title":"Characterization of B<sub>1</sub><sup>+</sup> field variation in brain at 3 T using 385 healthy individuals across the lifespan","year":2021,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University Hospital Foundation; Canada Research Chairs; Canadian Institutes of Health Research; Alberta Innovates; Women and Children's Health Research Institute","keywords":"Coefficient of variation; Voxel; Population; Brain size; Nuclear magnetic resonance; Nuclear medicine; Biology; Medicine; Magnetic resonance imaging; Physics; Mathematics; Statistics; Radiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004390677,0.000239384,0.0002222881,0.0004949409,0.0002550213,0.0002402838,0.0001525954,0.0002331412,0.0009090594],"category_scores_gemma":[0.001161105,0.0001297446,0.0001288373,0.0002463719,0.0002551871,0.0001967339,0.0001937528,0.00009848858,0.0001480529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001045382,"about_ca_system_score_gemma":0.000086473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004026899,"about_ca_topic_score_gemma":0.006591133,"domain_scores_codex":[0.9998798,0.00001804328,0.00001251782,0.0000485341,0.00002680044,0.00001419657],"domain_scores_gemma":[0.9995767,0.0001057844,0.0001227538,0.00005961025,0.00009449064,0.0000406145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00118516,0.00009027565,0.8888574,0.00008680466,0.0002775586,0.001202142,0.001620391,0.000881255,0.07107186,0.0001630804,0.0007859904,0.03377808],"study_design_scores_gemma":[0.000005876705,0.0001264286,0.9971501,0.000001929064,0.00002655183,0.0006919206,0.00008332524,0.0003357284,0.001302262,0.00006188198,0.0002089718,0.000005058737],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989175,0.00007442448,0.0006117946,0.000007945246,0.000001102244,0.00000479811,0.0002121398,0.00001415545,0.0001561769],"genre_scores_gemma":[0.9991744,0.00002353171,0.0004471352,0.000007177997,0.000002483459,0.000003912018,0.0002034061,0.000005376912,0.0001324782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004026899,"threshold_uncertainty_score":0.00800693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0238504015975555,"score_gpt":0.3346584415401286,"score_spread":0.3108080399425731,"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."}}