{"id":"W2987270259","doi":"10.1093/geroni/igz038.2524","title":"UNDERSTANDING AGING AND FRAILTY WITH A PREDICTIVE NETWORK MODEL","year":2019,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Frailty in Older Adults","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"National Health and Nutrition Examination Survey; Gerontology; Health and Retirement Study; Psychology; Set (abstract data type); Medicine; Computer science; Environmental health; Population","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":[0.001664048,0.0009044355,0.0008163261,0.001165406,0.0004691504,0.0009505606,0.00122477,0.001191632,0.003580202],"category_scores_gemma":[0.006452616,0.0004625485,0.0007595595,0.0007828638,0.0006799969,0.001185589,0.0009488278,0.001685555,0.0003494274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001568437,"about_ca_system_score_gemma":0.0008441954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02963493,"about_ca_topic_score_gemma":0.02185339,"domain_scores_codex":[0.9996367,0.0001465715,0.00001321482,0.0001074634,0.00004027965,0.00005582108],"domain_scores_gemma":[0.9971294,0.002182137,0.0002628642,0.00007280891,0.0002259326,0.0001269157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005321599,0.00004699278,0.006046672,0.00002171726,0.00004614604,0.00006522292,0.00004839377,0.9791524,0.00009712525,0.005915457,0.001061535,0.007445219],"study_design_scores_gemma":[0.000004718618,0.000008200453,0.0004972187,0.000007475482,0.000009135938,0.000008216272,0.000005497637,0.9940911,0.00001896821,0.005189117,0.0001573307,0.00000300241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4484048,0.002002157,0.5299143,0.005395671,0.0002412534,0.0001583178,0.003936935,0.0007819922,0.00916471],"genre_scores_gemma":[0.9725662,0.0005485298,0.02040126,0.0002414764,0.0001088909,0.0001761691,0.001152117,0.00003211586,0.00477329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02963493,"threshold_uncertainty_score":0.05892485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07182836498248354,"score_gpt":0.2955479332355982,"score_spread":0.2237195682531147,"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."}}