{"id":"W3210817995","doi":"10.3390/genes12111661","title":"Pairwise Correlation Analysis of the Alzheimer’s Disease Neuroimaging Initiative (ADNI) Dataset Reveals Significant Feature Correlation","year":2021,"lang":"en","type":"article","venue":"Genes","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Eisai; National Institute of General Medical Sciences; Northern California Institute for Research and Education; BioClinica; Servier; Brigham Young University; University of Southern California; Biogen; BrightFocus Foundation; Eli Lilly and Company; Bristol-Myers Squibb; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Pfizer; National Institute on Aging; Alzheimer's Association","keywords":"Correlation; Pairwise comparison; Neuroimaging; Feature (linguistics); Alzheimer's Disease Neuroimaging Initiative; Pattern recognition (psychology); Disease; Artificial intelligence; Alzheimer's disease; Neuroscience; Computer science; Psychology; Medicine; Internal medicine; Mathematics","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":[0.003118597,0.001084016,0.0009407937,0.002098352,0.0009393959,0.001239107,0.0009686651,0.0005772653,0.002634479],"category_scores_gemma":[0.01249618,0.0002395343,0.001330964,0.002535474,0.0006610904,0.000787018,0.0009702478,0.001342382,0.001860114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000889306,"about_ca_system_score_gemma":0.001626736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00994998,"about_ca_topic_score_gemma":0.02198728,"domain_scores_codex":[0.996872,0.0008338948,0.0001942825,0.001232054,0.0005800288,0.000287674],"domain_scores_gemma":[0.9949872,0.002349667,0.000608566,0.0008311566,0.0009863857,0.0002369339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001656407,0.0005111978,0.6146534,0.001031826,0.002384626,0.001476273,0.0005073744,0.01468495,0.02363975,0.005448109,0.2265615,0.1074447],"study_design_scores_gemma":[0.0002815786,0.0005890807,0.7063515,0.0002178477,0.001066534,0.002859864,0.001018072,0.1270725,0.02233972,0.02829105,0.1096188,0.0002933433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7230225,0.005734683,0.05661694,0.005435208,0.001104406,0.0002884226,0.1894576,0.005922601,0.01241762],"genre_scores_gemma":[0.7406116,0.0009821085,0.03469166,0.0008835685,0.0002008044,0.0004054744,0.2189192,0.0005245713,0.002781046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00994998,"threshold_uncertainty_score":0.01978415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02032171549217406,"score_gpt":0.2536828956594039,"score_spread":0.2333611801672298,"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."}}