{"id":"W2899561495","doi":"10.1093/geroni/igy023.2643","title":"A NETWORK PERSPECTIVE OF AGING AND FRAILTY","year":2018,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Frailty Index; Perspective (graphical); Computer science; Set (abstract data type); Gompertz function; Affect (linguistics); Gerontology; Medicine; Psychology; Artificial intelligence; Machine learning","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":[0.0009125936,0.00008640339,0.0001059825,0.0001110688,0.00010588,0.00001236453,0.00007510267,0.00003629636,0.0003565678],"category_scores_gemma":[0.0001396356,0.00009489825,0.00000769636,0.001119072,0.0002847356,0.0002366425,0.000138689,0.0001506462,0.00004499765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002328194,"about_ca_system_score_gemma":0.00001067778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006265807,"about_ca_topic_score_gemma":0.0001231761,"domain_scores_codex":[0.9988936,0.00006008432,0.0003095831,0.0003173158,0.0001774778,0.0002419165],"domain_scores_gemma":[0.9995873,0.00006849605,0.0001502346,0.0001451531,0.00002463461,0.00002416543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007456188,0.00003381511,0.9442592,0.00001361699,0.000006343583,0.000003966929,0.008422035,0.0004452756,0.01071264,0.009000441,0.0002662429,0.02682895],"study_design_scores_gemma":[0.0004370703,0.00004720333,0.9655008,0.0001299097,0.000004121749,0.000004847614,0.002078914,0.002083004,0.004219243,0.02278245,0.002517466,0.0001949363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693964,0.0000316686,0.007239544,0.001089678,0.00007183834,0.0001658349,0.000001075358,0.00001983388,0.02198418],"genre_scores_gemma":[0.995609,0.000008149515,0.00300591,0.001191697,0.0001023925,0.000008198524,0.000001484048,0.00001067663,0.00006250195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02663401,"threshold_uncertainty_score":0.3904167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02952825344707297,"score_gpt":0.3040812965892968,"score_spread":0.2745530431422238,"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."}}