{"id":"W4386192718","doi":"10.1177/20552173231195879","title":"Functional connectome fingerprinting and stability in multiple sclerosis","year":2023,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal - Experimental Translational and Clinical","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Chugai Pharmaceutical; Humboldt-Universität zu Berlin; National Multiple Sclerosis Society; Deutsche Forschungsgemeinschaft; Alexion Pharmaceuticals; Teva Pharmaceutical Industries; Berlin Institute of Health; Biogen; Bayer; Arthur Arnstein Stiftung; Guthy-Jackson Charitable Foundation; Sanofi","keywords":"Connectome; Human Connectome Project; Resting state fMRI; Neuroscience; Multiple sclerosis; Default mode network; Cognition; Psychology; Functional connectivity; Identification (biology); Biology; Psychiatry","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":[0.0005957544,0.0002618468,0.0002520879,0.001047257,0.0002778028,0.0004224465,0.0001775151,0.0003550072,0.001459835],"category_scores_gemma":[0.003132642,0.0001144535,0.000194846,0.0004760839,0.0002635776,0.000462604,0.0003195535,0.000272152,0.0001614238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001891026,"about_ca_system_score_gemma":0.000117204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001277819,"about_ca_topic_score_gemma":0.002052795,"domain_scores_codex":[0.9998481,0.0000296021,0.00001965628,0.00005247456,0.00002626721,0.00002394181],"domain_scores_gemma":[0.9985178,0.0005063415,0.0006163442,0.0001352007,0.0001186751,0.0001056287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006911217,0.00004698493,0.9825486,0.00002472447,0.0001304992,0.0002705875,0.0002252688,0.0005151221,0.00673703,0.00005941819,0.00008686395,0.008663685],"study_design_scores_gemma":[0.000003552051,0.0001028231,0.9977526,0.000004408907,0.00002227892,0.0005843667,0.00005299902,0.000590049,0.000706036,0.0001194241,0.00005696544,0.000004493336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994934,0.00008805804,0.0001911976,0.000008040038,9.238574e-7,0.000002896526,0.0001098862,0.0000041761,0.0001013447],"genre_scores_gemma":[0.999697,0.00002357282,0.0001134318,0.000002143734,0.000002244032,0.000003434366,0.0001146963,0.000001844036,0.00004174771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001459835,"threshold_uncertainty_score":0.004883647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3528472419169832,"score_gpt":0.3436057157677416,"score_spread":0.009241526149241674,"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."}}