{"id":"W4380884030","doi":"10.1002/alz.062645","title":"Development and validation of a dementia risk index for use with administrative healthcare data in Canada","year":2023,"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":"University of Calgary","funders":"","keywords":"Dementia; Medicine; Hazard ratio; Gerontology; Population; Risk assessment; Confidence interval; Environmental health; Disease; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01819964,0.0008768251,0.000798813,0.005360107,0.002253876,0.00271518,0.002700496,0.0005600124,0.0009887556],"category_scores_gemma":[0.04272251,0.0005623622,0.001224433,0.00760803,0.0006272604,0.0007330574,0.001689168,0.001024911,0.0004162385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02234114,"about_ca_system_score_gemma":0.05989858,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9551272,"about_ca_topic_score_gemma":0.943798,"domain_scores_codex":[0.9904106,0.002083633,0.001190504,0.0007257059,0.00500633,0.0005833079],"domain_scores_gemma":[0.961182,0.004625158,0.002986968,0.001583209,0.02827519,0.001347464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003213285,0.0003426631,0.9405968,0.0001714752,0.0002780426,0.00009034594,0.0005381358,0.003871157,0.0003921035,0.0005144392,0.005914147,0.04696944],"study_design_scores_gemma":[0.0001287991,0.0001345028,0.9651355,0.0001651616,0.000135963,0.0000729497,0.0004733061,0.02956172,0.000652557,0.0001966224,0.003292152,0.00005080815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9200725,0.0009073439,0.03057314,0.0009238125,0.0001167327,0.005737714,0.03125786,0.0007551513,0.009655748],"genre_scores_gemma":[0.905458,0.0006639248,0.06562331,0.0002342097,0.0000336911,0.002765832,0.02392696,0.00007033021,0.001223785],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04487282,"threshold_uncertainty_score":0.1620971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1140964258278456,"score_gpt":0.3616165323009655,"score_spread":0.2475201064731199,"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."}}