{"id":"W4404670573","doi":"10.1177/07067437241300947","title":"Graph Convolutional Network for AD and MCI Diagnosis Utilizing Peripheral DNA Methylation: Réseau de neurones en graphes pour le diagnostic de la MA et du TCL à l’aide de la méthylation de l’ADN périphérique","year":2024,"lang":"en","type":"article","venue":"The Canadian Journal of Psychiatry","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"dNaM; Biomarker; Dementia; Correlation; DNA methylation; Area under the curve; Oncology; Disease; Medicine; Psychology; Artificial intelligence; Neuroscience; Internal medicine; Computer science; Biology; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0006470238,0.0009981993,0.000425979,0.0009782079,0.0003287243,0.0005339147,0.0007436448,0.0006816896,0.00116334],"category_scores_gemma":[0.001054057,0.000203118,0.0008608248,0.0004537003,0.0002599851,0.0003624774,0.0004861224,0.0006992995,0.0003498706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001064497,"about_ca_system_score_gemma":0.001014346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02877296,"about_ca_topic_score_gemma":0.03453729,"domain_scores_codex":[0.9998324,0.00003715123,0.000006454414,0.00005906367,0.00002273172,0.00004212549],"domain_scores_gemma":[0.9997405,0.0001093212,0.00004047668,0.00002686711,0.00005509093,0.00002762693],"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":[0.00151083,0.0006965484,0.08206355,0.0001670361,0.0008595296,0.000429505,0.0001351027,0.4404292,0.02847519,0.002762403,0.009489921,0.4329813],"study_design_scores_gemma":[0.00001525582,0.00009120361,0.008456856,0.00001427752,0.00009124372,0.00005905352,0.00001772361,0.9854921,0.003425172,0.001646238,0.0006779131,0.0000129985],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7852831,0.002315646,0.2011425,0.001052623,0.0001567734,0.0001346876,0.002733815,0.002996916,0.004183927],"genre_scores_gemma":[0.9603727,0.0003170171,0.03414207,0.0001401043,0.00003341227,0.00006612143,0.00210521,0.00003697549,0.002786345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02877296,"threshold_uncertainty_score":0.05721092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084997980845473,"score_gpt":0.2662106296191676,"score_spread":0.2553606498107128,"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."}}