{"id":"W2421101021","doi":"10.1016/j.neuroimage.2016.10.038","title":"Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines","year":2016,"lang":"en","type":"review","venue":"NeuroImage","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":822,"is_retracted":false,"has_abstract":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Agence Nationale de la Recherche","keywords":"Computer science; Neuroimaging; Decoding methods; Cross-validation; Artificial intelligence; Machine learning; Algorithm; Psychology; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.245319710648384,"score_gpt":0.4530534475548654,"score_spread":0.2077337369064814,"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."}}