{"id":"W7117257231","doi":"10.1002/alz70856_102512","title":"Routine Blood Count and Chemistry can predict AD dementia risk up to Ten years Ahead","year":2025,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario","funders":"","keywords":"Dementia; Blood count; Count data; Risk assessment; Complete blood count; MEDLINE","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":[0.003142309,0.001050934,0.0005267544,0.001589312,0.0003123051,0.001146873,0.0004631396,0.0006230245,0.001963574],"category_scores_gemma":[0.009269029,0.0003039959,0.0009677417,0.001003514,0.0002202052,0.0005831412,0.0005057247,0.0007461392,0.0007363433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004219713,"about_ca_system_score_gemma":0.0006640633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01008204,"about_ca_topic_score_gemma":0.01050854,"domain_scores_codex":[0.9991868,0.0002586544,0.00007464388,0.0001821542,0.0001915366,0.000106176],"domain_scores_gemma":[0.9959651,0.002172727,0.0007550688,0.0003849527,0.0005110416,0.0002111083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004147304,0.0000946421,0.9837601,0.00003293757,0.0001895321,0.00008412475,0.00004138895,0.003837543,0.0003177388,0.00004111926,0.0006276768,0.01055851],"study_design_scores_gemma":[0.00002552907,0.0004401265,0.9445593,0.00005947122,0.0003513843,0.0004482041,0.0001155699,0.05117792,0.00117126,0.0006799665,0.0009429567,0.00002839583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864469,0.001574546,0.005973487,0.0003992401,0.00006819668,0.00005081658,0.002428983,0.0002695729,0.002788323],"genre_scores_gemma":[0.9963682,0.0002761646,0.00172997,0.00004066344,0.00002984686,0.00001486464,0.001102554,0.0000100262,0.0004277366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01008204,"threshold_uncertainty_score":0.02004671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164775112869211,"score_gpt":0.2852942651088475,"score_spread":0.2736465139801554,"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."}}