{"id":"W4392592471","doi":"10.21037/qims-23-1397","title":"Knowledge atlas of white matter microstructure: a bibliometric analysis","year":2024,"lang":"en","type":"article","venue":"Quantitative Imaging in Medicine and Surgery","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tongji University; National Natural Science Foundation of China","keywords":"White matter; Atlas (anatomy); White paper; Computer science; Data science; Medicine; Geography; Magnetic resonance imaging; Archaeology; Radiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00913206,0.0009636277,0.002215961,0.2468822,0.001681422,0.006952083,0.001153819,0.0009436512,0.007274635],"category_scores_gemma":[0.05343132,0.0003609889,0.002500631,0.2654891,0.001010852,0.004421897,0.00348704,0.0006228876,0.001548479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002960819,"about_ca_system_score_gemma":0.006921417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006315902,"about_ca_topic_score_gemma":0.005998342,"domain_scores_codex":[0.9872103,0.002074715,0.002950551,0.001603639,0.005571504,0.000589209],"domain_scores_gemma":[0.9341626,0.03967509,0.0104536,0.002270564,0.01222617,0.001212012],"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":[0.0004328133,0.0002072249,0.4180244,0.04294536,0.004077696,0.00139695,0.006201677,0.004780232,0.003734777,0.01508081,0.04620555,0.4569125],"study_design_scores_gemma":[0.0001120252,0.0003386598,0.7248508,0.01029405,0.005891073,0.002138829,0.01054994,0.01416926,0.003456005,0.01539969,0.2124819,0.0003178009],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5154325,0.0975448,0.01877867,0.006021199,0.0005175265,0.00188368,0.3044334,0.001932392,0.05345574],"genre_scores_gemma":[0.8231291,0.05160126,0.02600467,0.0002572853,0.0005564284,0.001810269,0.09320468,0.0002367646,0.003199515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7531178,"threshold_uncertainty_score":0.0482955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09699502246704417,"score_gpt":0.42028256994744,"score_spread":0.3232875474803958,"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."}}