{"id":"W4406211041","doi":"10.1002/alz.089721","title":"Predicting Neurodegenerative Diseases: Unveiling the Interplay of Genetics and Social Determinants","year":2024,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Genetics; Biology; Evolutionary biology; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002970059,0.0001487717,0.0001247047,0.00002589284,0.0002676664,0.00005335196,0.0001697228,0.00003934389,0.0002563878],"category_scores_gemma":[0.000016656,0.0001168633,0.00004936379,0.0001112554,0.0003314955,0.0001714539,0.0003579391,0.0001551545,0.00005194755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001186249,"about_ca_system_score_gemma":0.00001595134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007904846,"about_ca_topic_score_gemma":0.00006789747,"domain_scores_codex":[0.9986213,0.0001494323,0.0002756894,0.0004285422,0.0002525387,0.000272515],"domain_scores_gemma":[0.9995648,0.0001247146,0.00007812105,0.0001637789,0.000004483978,0.00006412284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001862331,0.00008847847,0.5362167,0.00003674292,0.001726969,0.00003889715,0.01000848,0.0002486351,0.01512632,0.00007352524,0.000554174,0.4358625],"study_design_scores_gemma":[0.0006231806,0.0002891907,0.7847563,0.0001381332,0.01217142,0.00003277405,0.002067149,0.1046048,0.08153796,0.0006160446,0.01238254,0.0007804792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830127,0.01523104,0.0005079725,0.0002743488,0.0002108066,0.0003045069,0.0000315669,0.00003154019,0.00039551],"genre_scores_gemma":[0.9990852,0.0001460621,0.0002734617,0.0003542127,0.00008196315,0.0000242508,0.000004839189,0.00002470567,0.000005303441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.435082,"threshold_uncertainty_score":0.4765547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01832450214934227,"score_gpt":0.2884568549607407,"score_spread":0.2701323528113985,"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."}}