{"id":"W2994660274","doi":"10.1038/s41598-019-55818-z","title":"A Novel Joint Brain Network Analysis Using Longitudinal Alzheimer’s Disease Data","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"St Joseph's Health Care; Sunnybrook Health Science Centre; St Joseph's Health Centre; McGill University; Jewish General Hospital","funders":"National Center for Advancing Translational Sciences; National Institute of Mental Health; National Institute on Aging","keywords":"Alzheimer's disease; Computer science; Joint (building); Disease; Longitudinal data; Data science; Neuroscience; Medicine; Data mining; Biology; Internal medicine","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":[0.00185615,0.0007660975,0.0006582541,0.002668127,0.0005444421,0.0009167228,0.0007982912,0.0005827284,0.001558135],"category_scores_gemma":[0.005695213,0.0002696148,0.001165289,0.00170441,0.0004019032,0.001101432,0.001131514,0.0007856438,0.0003942705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004935208,"about_ca_system_score_gemma":0.0007619442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01111246,"about_ca_topic_score_gemma":0.01470956,"domain_scores_codex":[0.9993469,0.0002338084,0.00002906562,0.0002496113,0.00007624513,0.00006437024],"domain_scores_gemma":[0.9981052,0.0007954222,0.0002831854,0.0003954632,0.0002703296,0.0001504256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001381119,0.0005729594,0.1726185,0.0003926192,0.002665916,0.001431933,0.000853571,0.4619571,0.02229381,0.02065962,0.02014309,0.2950299],"study_design_scores_gemma":[0.00003020342,0.0001049077,0.03142434,0.00001899226,0.0001306118,0.000254433,0.00008338327,0.9514483,0.00112541,0.01297012,0.002375108,0.00003418644],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3950459,0.0009237898,0.5928064,0.0006301613,0.00009052968,0.0001527127,0.006441962,0.002437037,0.001471601],"genre_scores_gemma":[0.8464673,0.0003272845,0.1414605,0.00008656963,0.0001385211,0.0002506713,0.009635062,0.0002275798,0.001406548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01111246,"threshold_uncertainty_score":0.02209556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1724348574569228,"score_gpt":0.3266544616617204,"score_spread":0.1542196042047975,"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."}}