{"id":"W4402144382","doi":"10.21037/qims-24-238","title":"Predicting white-matter hyperintensity progression and cognitive decline in patients with cerebral small-vessel disease: a magnetic resonance-based habitat analysis","year":2024,"lang":"en","type":"article","venue":"Quantitative Imaging in Medicine and Surgery","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shanghai Jiao Tong University; Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China; Shanghai Municipal Health Commission","keywords":"White matter; Hyperintensity; Fluid-attenuated inversion recovery; Fractional anisotropy; Magnetic resonance imaging; Diffusion MRI; Cardiology; Medicine; Cognitive decline; Internal medicine; Disease; 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":[],"consensus_categories":[],"category_scores_codex":[0.000474391,0.0004201979,0.0003720752,0.001402436,0.0003143618,0.00051345,0.000294601,0.0003508252,0.0006565618],"category_scores_gemma":[0.001389683,0.0001134099,0.0004300972,0.0006860753,0.0001804608,0.0003728424,0.0003935735,0.0002586123,0.0001768382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001938644,"about_ca_system_score_gemma":0.0002300711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002267136,"about_ca_topic_score_gemma":0.004708589,"domain_scores_codex":[0.9998754,0.00003649035,0.00001526542,0.00003391661,0.00002295499,0.00001583866],"domain_scores_gemma":[0.9995261,0.0001238612,0.000162201,0.00003196609,0.00007704155,0.00007878651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00019958,0.00004423636,0.9946143,0.000009945167,0.00008728247,0.00004625054,0.00003930735,0.0006314439,0.0004558451,0.0000122454,0.00005522194,0.003804261],"study_design_scores_gemma":[0.00001212258,0.0001808695,0.9934203,0.000005748331,0.0000591741,0.000178199,0.0001212447,0.005614697,0.0002182422,0.00009383777,0.00008918941,0.000006385217],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993286,0.00008527972,0.0003255501,0.00001638726,0.000001950833,0.0000083828,0.00009024358,0.000006749743,0.0001369546],"genre_scores_gemma":[0.9993794,0.00003197432,0.0003792608,0.000003196565,0.00000351816,0.000006373749,0.0001591928,0.000001412592,0.00003556077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002267136,"threshold_uncertainty_score":0.00450784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0205291133734255,"score_gpt":0.3149458124754478,"score_spread":0.2944166991020223,"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."}}