{"id":"W3046636491","doi":"10.1002/hbm.25089","title":"Can we predict real‐time <scp>fMRI</scp> neurofeedback learning success from pretraining brain activity?","year":2020,"lang":"en","type":"review","venue":"Human Brain Mapping","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Medical Research Council; Foundation for Research in Science and the Humanities; Baugarten Stiftung; Universität Zürich; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Neurofeedback; Psychology; Brain activity and meditation; Neuroscience; Electroencephalography; Cognitive psychology","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","sts","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001299864,0.001829311,0.003851203,0.0008504754,0.002407496,0.0007461078,0.001916153,0.0007563466,0.000196293],"category_scores_gemma":[0.05637361,0.001941941,0.001172444,0.002001518,0.000599737,0.000701969,0.001689476,0.003931466,0.0006025654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006466567,"about_ca_system_score_gemma":0.0006120201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002317069,"about_ca_topic_score_gemma":0.00006522242,"domain_scores_codex":[0.9876257,0.00394773,0.001400681,0.00385433,0.00151049,0.001661047],"domain_scores_gemma":[0.9320719,0.06452522,0.001664037,0.001126247,0.0001023167,0.0005103105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003310916,0.0004186319,0.0002597334,0.02475515,0.001618441,0.001945318,0.01769315,0.000221154,0.07168504,0.002609271,0.2056416,0.6731194],"study_design_scores_gemma":[0.0005418324,0.0002613913,0.0003089311,0.009373991,0.0002663998,0.00006537548,0.0003310861,0.0005315028,0.00005030354,0.0008237337,0.9866327,0.0008127763],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006323143,0.907732,0.0007628226,0.03335445,0.003557975,0.007603243,0.001642772,0.006324565,0.0326991],"genre_scores_gemma":[0.0030082,0.9657771,0.0002420986,0.005514527,0.004821636,0.0007227688,0.0004064859,0.0009849,0.01852228],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7809911,"threshold_uncertainty_score":0.9994452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09048280283199418,"score_gpt":0.3115823474019485,"score_spread":0.2210995445699543,"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."}}