{"id":"W4286560425","doi":"10.1093/braincomms/fcac187","title":"Structural disconnection and functional reorganization in Fabry disease: a multimodal MRI study","year":2022,"lang":"en","type":"article","venue":"Brain Communications","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Connectome; Confounding; Disease; Functional connectivity; Fabry disease; Resting state fMRI; Diffusion MRI; Neuroscience; Medicine; Magnetic resonance imaging; Psychology; Cardiology; Internal medicine; Radiology","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":[0.0005043775,0.0004176833,0.0003359461,0.001180616,0.000375031,0.0002960889,0.0001921496,0.0004552751,0.0009851983],"category_scores_gemma":[0.0009939991,0.0002127729,0.0002060695,0.000404011,0.0003826182,0.0003893471,0.000379314,0.0002388856,0.0001314469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002636887,"about_ca_system_score_gemma":0.0001396222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001480619,"about_ca_topic_score_gemma":0.001270529,"domain_scores_codex":[0.9998794,0.00002865762,0.00001122321,0.00004049323,0.00001621385,0.0000240441],"domain_scores_gemma":[0.9997117,0.00006321465,0.0001086756,0.00003528682,0.00002747969,0.00005359747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00185495,0.0003859062,0.9356495,0.00007255086,0.0002446409,0.006140241,0.001081597,0.0003522427,0.04550542,0.0001437916,0.0001615985,0.00840762],"study_design_scores_gemma":[0.00002153335,0.0003451142,0.9949453,0.000006408811,0.00006086213,0.003234346,0.0001565155,0.0004663238,0.0005693633,0.00007987172,0.0001067101,0.000007528637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999643,0.00009958822,0.0001033193,0.0000121562,7.025086e-7,0.000005061961,0.00003394648,0.000001441196,0.0001008628],"genre_scores_gemma":[0.9997017,0.00004411817,0.0001098166,0.000007353485,0.0000064516,0.000003882552,0.00007789686,9.005155e-7,0.00004796149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001480619,"threshold_uncertainty_score":0.003295839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08221085080168757,"score_gpt":0.3653587070523829,"score_spread":0.2831478562506953,"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."}}