{"id":"W3111757287","doi":"10.1016/j.nicl.2020.102538","title":"Subacute functional connectivity correlates with cognitive recovery six months after stroke","year":2020,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institute on Aging; National Institutes of Health; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Cognition; Default mode network; Stroke (engine); Functional connectivity; Psychology; Neuroscience; Stroke recovery; Salience (neuroscience); Resting state fMRI; Effects of sleep deprivation on cognitive performance; Physical medicine and rehabilitation; Audiology; Medicine; Rehabilitation","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003835295,0.0003768897,0.0005533155,0.0000642877,0.0002762724,0.0001099051,0.0002073841,0.0001522619,0.0003937493],"category_scores_gemma":[0.04187784,0.0003270808,0.0003082135,0.0003864051,0.0006612383,0.000580621,0.0003010916,0.001120487,0.000720042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003223516,"about_ca_system_score_gemma":0.0001508503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005701377,"about_ca_topic_score_gemma":0.00002455595,"domain_scores_codex":[0.9959747,0.0007052543,0.0005421474,0.001684583,0.0006338505,0.0004594723],"domain_scores_gemma":[0.9676881,0.0313035,0.0002158624,0.0003061619,0.0001703942,0.0003159366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04735569,0.002558226,0.8305801,0.0001111985,0.0005119537,0.004631446,0.0004836857,0.0004154084,0.03643858,0.0007904295,0.062449,0.01367428],"study_design_scores_gemma":[0.006999094,0.007930374,0.9482458,0.00008032305,0.0003387357,0.0002422697,0.0002033916,0.003488305,0.01694466,0.0004365601,0.01387274,0.001217723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780837,0.00004665763,0.002239569,0.01345017,0.001297332,0.0005403272,0.0003325227,0.0003308195,0.003678952],"genre_scores_gemma":[0.95513,0.00005316991,0.00008689575,0.04336376,0.000670687,0.00008882756,0.000007167132,0.00005945901,0.0005399915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1176657,"threshold_uncertainty_score":0.9999181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08674120300671773,"score_gpt":0.3087553678303003,"score_spread":0.2220141648235825,"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."}}