{"id":"W2968550242","doi":"10.5334/ijic.s3565","title":"Ageing of elderly in Biscay: Active Ageing Index as a tool to monitor","year":2019,"lang":"en","type":"article","venue":"International Journal of Integrated Care","topic":"Aging, Health, and Disability","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Gouvernement du Québec","funders":"","keywords":"Index (typography); Healthy ageing; Ageing; Gerontology; Computer science; Library science; Medicine; World Wide Web","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":[0.0002547537,0.0001351739,0.0003695606,0.0004791414,0.0000146628,0.00002329544,0.0002485831,0.0001038809,0.0002791934],"category_scores_gemma":[0.0006579732,0.0001068124,0.0001619694,0.0002496995,0.00003092097,0.0001981515,0.00003643552,0.0005424247,0.00002656614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038429,"about_ca_system_score_gemma":0.0007397128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0017638,"about_ca_topic_score_gemma":0.000216073,"domain_scores_codex":[0.9982836,0.0000587619,0.0006686859,0.0001617887,0.0006605567,0.0001666378],"domain_scores_gemma":[0.9974511,0.0001054921,0.0003408554,0.0001414163,0.001829926,0.0001311941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005534918,0.0004007549,0.7527707,0.0002175302,0.0003976574,0.001467175,0.01650242,0.0005882689,0.03072433,0.0002253398,0.0003063222,0.1908646],"study_design_scores_gemma":[0.006257307,0.002680369,0.8477907,0.004739891,0.00007480741,0.0005111492,0.090923,0.0003625412,0.04354907,0.0008363361,0.001933763,0.0003410794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946141,0.0001331004,0.0001367911,0.0007657298,0.0008667748,0.0002478393,0.00002212707,0.000009046754,0.003204452],"genre_scores_gemma":[0.9988615,0.00002191826,0.0002661423,0.0004703438,0.0002008453,0.000003323944,0.00001243308,0.00001503511,0.0001484502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1905235,"threshold_uncertainty_score":0.4355681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109949691643311,"score_gpt":0.3231310860585866,"score_spread":0.3121361168942555,"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."}}