{"id":"W4391103248","doi":"10.1038/s41467-024-44900-4","title":"Connectome-based reservoir computing with the conn2res toolbox","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University; Mila - Quebec Artificial Intelligence Institute; Montreal Neurological Institute and Hospital","funders":"NIHR Cambridge Biomedical Research Centre; Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; National Institute for Health and Care Research; University of Cambridge; MQ: Transforming Mental Health; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; Canadian Institute for Advanced Research","keywords":"Connectome; Toolbox; Computer science; Neuroscience; Functional connectivity; Biology; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0006067542,0.0001699182,0.0001457784,0.0001048245,0.000949394,0.0008196492,0.004722227,0.0001349638,0.000004484642],"category_scores_gemma":[0.00006337357,0.00009650218,0.00008936528,0.001330008,0.0002174074,0.0002576008,0.0009400855,0.001626067,0.00002325797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003944143,"about_ca_system_score_gemma":0.0001561041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001832856,"about_ca_topic_score_gemma":0.0002120486,"domain_scores_codex":[0.9985244,0.0003162902,0.0001975284,0.000347121,0.0003040519,0.0003105902],"domain_scores_gemma":[0.9942949,0.002632306,0.00006876643,0.002763866,0.0001700892,0.00007000897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001488856,0.000119439,0.0009956501,0.00007819785,0.0001544511,0.00006587309,0.001216929,0.03036001,0.0003189454,0.8606551,0.07899613,0.02702435],"study_design_scores_gemma":[0.0001318737,0.00004339908,0.0009370549,0.0001679386,0.0000112545,0.00002875689,0.00005036823,0.8010731,0.0001294463,0.0004467536,0.1968098,0.0001702565],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03976819,0.06312584,0.464041,0.4140383,0.001480235,0.000983817,0.00001150052,0.002473108,0.01407802],"genre_scores_gemma":[0.9674554,0.00004451744,0.02996303,0.002241606,0.0001424891,0.00001411549,0.00001175183,0.00001787128,0.0001092464],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9276872,"threshold_uncertainty_score":0.8775151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02167883958499481,"score_gpt":0.2942657290115324,"score_spread":0.2725868894265375,"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."}}