{"id":"W2910055738","doi":"10.1177/2050312118822440","title":"Feasibility of population screening tests to establish a healthy ageing trajectory","year":2019,"lang":"en","type":"article","venue":"SAGE Open Medicine","topic":"Frailty in Older Adults","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Mental Health; National Institutes of Health; Flinders University","keywords":"Medicine; Gerontology; Quality of life (healthcare); Test (biology); Distress; Population; Cognition; Anthropometry; Life expectancy; Mental health; Physical therapy; Environmental health; Clinical psychology; Psychiatry; Nursing","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001408945,0.0002017432,0.0007741561,0.0002311838,0.00005665447,0.00001748895,0.000339331,0.0001017634,0.001550038],"category_scores_gemma":[0.001766552,0.0001671157,0.00005755573,0.0006466192,0.00006640243,0.0002783723,0.0001857991,0.0003048886,0.00005346847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001606766,"about_ca_system_score_gemma":0.0001035804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006365664,"about_ca_topic_score_gemma":0.0008954741,"domain_scores_codex":[0.9977064,0.0001182068,0.0006722449,0.0005140086,0.0006330651,0.0003561119],"domain_scores_gemma":[0.9981115,0.0002635468,0.0002022129,0.0008650004,0.0001721234,0.0003855659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001399773,0.0002195872,0.8726838,0.0007181597,0.00005089699,0.00009167216,0.002550859,0.00007750603,0.0142603,0.00003796187,0.003454243,0.1044552],"study_design_scores_gemma":[0.006012738,0.001869667,0.9860574,0.002923034,0.00006737276,0.00004372458,0.000775398,0.000219469,0.000177511,0.00005822842,0.001634235,0.0001611951],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781898,0.0003187968,0.0005722297,0.006934007,0.000401519,0.003259908,0.00001265261,0.00005947619,0.01025159],"genre_scores_gemma":[0.9868893,0.0000140773,0.007173006,0.002974547,0.0002347315,0.00002367179,0.0001136893,0.00003873412,0.002538242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1133736,"threshold_uncertainty_score":0.9993627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06513044301411376,"score_gpt":0.3798882411372437,"score_spread":0.3147577981231299,"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."}}