{"id":"W3100826428","doi":"10.1093/nc/niaa017","title":"Brain network motif topography may predict emergence from disorders of consciousness: a case series","year":2020,"lang":"en","type":"article","venue":"Neuroscience of Consciousness","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Montreal Neurological Institute and Hospital; McGill University; Montreal General Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research","keywords":"Motif (music); Consciousness; Series (stratigraphy); Neuroscience; Cognitive science; Psychology; Paleontology; Geology; Philosophy; Aesthetics","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":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.000385858,0.0004264923,0.0007195426,0.0001771941,0.0006128856,0.00006337297,0.0009878078,0.0001099654,0.0001022705],"category_scores_gemma":[0.01307229,0.0004173809,0.0002611467,0.002716129,0.00392771,0.0007484793,0.0005204228,0.0003221737,0.000008595601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001441668,"about_ca_system_score_gemma":0.0002241633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002530794,"about_ca_topic_score_gemma":0.0004694165,"domain_scores_codex":[0.9957098,0.0004511113,0.0007715155,0.00140698,0.0009862549,0.0006742823],"domain_scores_gemma":[0.9938604,0.004483842,0.0005380738,0.0006432857,0.0001854233,0.000288945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008151396,0.0006295663,0.1668547,0.0003721953,0.00004804608,0.001133312,0.004506931,0.01849992,0.7591691,0.01717094,0.02699346,0.003806724],"study_design_scores_gemma":[0.008978565,0.008997645,0.07380459,0.0007956424,0.0005316242,0.00259196,0.01014917,0.04862539,0.7033806,0.04241293,0.09382254,0.005909359],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9612432,0.0002290907,0.002629684,0.03039801,0.002590581,0.0008032392,0.0005105864,0.0002665918,0.001328979],"genre_scores_gemma":[0.9924203,0.0001257151,0.0002210016,0.006914721,0.0001526589,0.00004909255,0.000002081552,0.00003819216,0.00007622746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0930501,"threshold_uncertainty_score":0.9998278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02633438452593947,"score_gpt":0.2551555497891899,"score_spread":0.2288211652632504,"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."}}