{"id":"W2989858959","doi":"10.1016/j.nicl.2019.102100","title":"Functional brain connectome in posterior cortical atrophy","year":2019,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Research Council; Fonds de Recherche du Québec - Santé; Fondazione Italiana di Ricerca per la Sclerosi Laterale Amiotrofica; Ministero della Salute; Agenzia di Ricerca per la Sclerosi Laterale Amiotrofica; Réseau en Bio-Imagerie du Quebec; Ministry of Health; Jacques und Gloria Gossweiler-Stiftung; Eli Lilly and Company; Fondazione Italiana Sclerosi Multipla; Biogen; CurePSP; Novartis; Teva Pharmaceutical Industries; Biogen Idec; Alzheimer's Drug Discovery Foundation","keywords":"Connectome; Connectomics; Posterior cortical atrophy; Neuroscience; Atrophy; Medicine; Functional connectivity; Neuroimaging; Psychology; Disease; Pathology; Dementia","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002038629,0.0004240911,0.0002400494,0.001517581,0.000284022,0.0003343605,0.0001858258,0.0003156752,0.002496336],"category_scores_gemma":[0.001347081,0.0001802259,0.000190597,0.0007227913,0.0003322354,0.0005617228,0.0003289403,0.0002579794,0.0001655961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000159833,"about_ca_system_score_gemma":0.0001419056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002064568,"about_ca_topic_score_gemma":0.004051736,"domain_scores_codex":[0.9999096,0.00002041168,0.000005976568,0.00003371286,0.00001603279,0.00001419708],"domain_scores_gemma":[0.9995994,0.0001136729,0.0001589605,0.00003413911,0.00004452941,0.00004931754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001733151,0.0001548211,0.9063079,0.0002140268,0.0005667915,0.003330675,0.001183855,0.001802889,0.05313097,0.0007420225,0.0006343681,0.03019846],"study_design_scores_gemma":[0.00001130037,0.000107966,0.9952148,0.000005569208,0.0000499226,0.002207055,0.0001549587,0.0009900128,0.0005703858,0.0004885196,0.0001926959,0.000006801842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99898,0.0001259335,0.0003999915,0.00002666741,0.00000164873,0.000006984769,0.0001528597,0.000006713978,0.0002992229],"genre_scores_gemma":[0.999488,0.00006259684,0.0002001685,0.000006675301,0.000003746934,0.00000509054,0.0001606008,0.000002638317,0.00007056636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002496336,"threshold_uncertainty_score":0.008351088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09336007766685779,"score_gpt":0.3497636111984035,"score_spread":0.2564035335315457,"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."}}