{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006043514,0.0009288923,0.0006575208,0.001568704,0.0004484389,0.001740098,0.0005807066,0.0004106694,0.001356753],"category_scores_gemma":[0.009825262,0.0002403468,0.001065767,0.001379167,0.001108312,0.0009088629,0.001456827,0.000573796,0.0001370333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005071085,"about_ca_system_score_gemma":0.00127066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02145922,"about_ca_topic_score_gemma":0.02964822,"domain_scores_codex":[0.9970029,0.00237824,0.00008202661,0.0002876785,0.0001081336,0.000140992],"domain_scores_gemma":[0.9931788,0.004667976,0.0009980996,0.0004472376,0.0003889375,0.0003188895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004609828,0.00002414705,0.9900662,0.00002742157,0.0003545764,0.00003746438,0.0001331052,0.001095113,0.0001480417,0.000294358,0.0000877785,0.00768568],"study_design_scores_gemma":[0.00001218824,0.0002144816,0.977161,0.0001086925,0.0004179707,0.0001488788,0.0009420433,0.0152189,0.0003074259,0.004492463,0.0009477795,0.00002818698],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855524,0.002134333,0.008029403,0.001740175,0.00003099123,0.00003248147,0.0005259134,0.00005379901,0.001900519],"genre_scores_gemma":[0.9969475,0.0003445047,0.002364343,0.00007880224,0.00001980724,0.00001062547,0.0001199962,0.000006110799,0.0001082544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02145922,"threshold_uncertainty_score":0.04266864,"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."}}