{"id":"W6912863084","doi":"10.5281/zenodo.6345820","title":"The coming decade of digital brain research - A vision for neuroscience at the intersection of technology and computing","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; McGill University; Montreal Neurological Institute and Hospital; University of Toronto","funders":"European Commission","keywords":"Intersection (aeronautics); Field (mathematics); Grand Challenges; Theme (computing); Brain research; Translational research; Citizen journalism; Big data","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03902161,0.001050899,0.001801764,0.003965829,0.007136509,0.03388881,0.00348267,0.01477038,0.01269329],"category_scores_gemma":[0.03682766,0.0006151107,0.001351675,0.004545769,0.04255617,0.06928153,0.01776818,0.02224438,0.004854212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007368995,"about_ca_system_score_gemma":0.02287314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002244032,"about_ca_topic_score_gemma":0.002270476,"domain_scores_codex":[0.9806406,0.01025956,0.001024347,0.002092409,0.004832345,0.001150693],"domain_scores_gemma":[0.9430683,0.03159454,0.002551319,0.006914541,0.007970893,0.007900405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005730634,0.00004642411,0.0003985089,0.0007107033,0.0000207367,0.0001367325,0.005443804,0.0001506994,0.000632608,0.848838,0.07618406,0.06738045],"study_design_scores_gemma":[0.00001099715,0.00004920442,0.0004403236,0.001550241,0.00001621072,0.0003667051,0.006606111,0.0002645765,0.0004394744,0.4459865,0.5442223,0.00004735513],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.004623069,0.09287442,0.05901129,0.7584593,0.01619758,0.0001648882,0.000320592,0.0004537432,0.06789511],"genre_scores_gemma":[0.2214189,0.2143221,0.2288172,0.2516159,0.02282369,0.0012686,0.001128279,0.001357916,0.05724755],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03902161,"threshold_uncertainty_score":0.2063684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07693130967015158,"score_gpt":0.3217735135801721,"score_spread":0.2448422039100206,"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."}}