{"id":"W2997175942","doi":"10.1093/geroni/igz038.485","title":"CHRONIC DISEASE AND TERMINAL DECLINE IN VERY OLD MEN: THE MANITOBA FOLLOW-UP STUDY","year":2019,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Demography; Medicine; Gerontology; Multinomial logistic regression","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":[0.0007110646,0.0003238499,0.0003695911,0.001015535,0.001029243,0.0008417042,0.0007757705,0.0005309355,0.00111617],"category_scores_gemma":[0.001630726,0.0004326866,0.0005333315,0.001803267,0.0002949279,0.0003486294,0.0006987167,0.0009754815,0.0002338832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00160394,"about_ca_system_score_gemma":0.001991784,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5299047,"about_ca_topic_score_gemma":0.6565682,"domain_scores_codex":[0.9996967,0.00009655998,0.00001686509,0.00004294412,0.00006556807,0.00008135959],"domain_scores_gemma":[0.9987656,0.0001052059,0.0003042351,0.00007629728,0.0002288965,0.000519891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005943476,0.00003981234,0.9988274,0.000008857717,0.00005758725,0.0000425933,0.0001232921,0.00003148833,0.00005349478,0.00001874642,0.0002969565,0.0004404207],"study_design_scores_gemma":[0.00001051085,0.00003316459,0.9992871,0.000019521,0.00003956776,0.00002626677,0.0001956509,0.0001512131,0.00001266863,0.00001435102,0.0002065764,0.00000344391],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994997,0.001209738,0.00007946276,0.0003076889,0.00001888049,0.00003225006,0.00239304,0.000006254273,0.0009557122],"genre_scores_gemma":[0.9980356,0.0004591418,0.00006148213,0.00008948046,0.00001440591,0.00002049441,0.0009251474,0.000001734295,0.0003925353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4700953,"threshold_uncertainty_score":0.9457276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03828059500450624,"score_gpt":0.3257686678012238,"score_spread":0.2874880727967175,"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."}}