{"id":"W2038189222","doi":"10.3928/00989134-20120307-01","title":"Automated Technology to Speed Recognition of Signs of Illness in Older Adults","year":2012,"lang":"en","type":"article","venue":"Journal of Gerontological Nursing","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Nursing Research","keywords":"Quarter (Canadian coin); Medicine; Exacerbation; Intervention (counseling); Physical medicine and rehabilitation; Physical therapy; Gerontology; Psychology; Nursing; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009388275,0.0001026549,0.0005143115,0.00033792,0.00007024277,0.000001416554,0.0001399178,0.0003818262,0.0000551879],"category_scores_gemma":[0.000412661,0.00007834302,0.00008547953,0.0003703246,0.00008933823,0.000181124,0.00002278075,0.0004878453,0.00001279855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001633434,"about_ca_system_score_gemma":0.0000486542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000198721,"about_ca_topic_score_gemma":0.00001647185,"domain_scores_codex":[0.9978976,0.0003650323,0.001062077,0.0000982165,0.0001932592,0.0003837869],"domain_scores_gemma":[0.9984044,0.000185544,0.000878011,0.0001039549,0.0003156649,0.0001123538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00401425,0.009986462,0.241072,0.0008465105,0.00009961564,0.00003379221,0.02905047,0.000008632625,0.3698543,0.0008375895,0.00425895,0.3399374],"study_design_scores_gemma":[0.002618944,0.0007141246,0.9768171,0.005504779,0.00004292432,0.0000404118,0.01164026,0.0001396846,0.0008257474,0.001447906,0.00006690543,0.0001411986],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957419,0.0004570614,0.0007428341,0.0007738313,0.0008410692,0.000334199,0.000004747998,0.00003783456,0.001066509],"genre_scores_gemma":[0.9965051,0.00003439928,0.003219416,0.00007042877,0.0001370597,0.00000367803,0.000003137527,0.000007937194,0.0000188748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7357451,"threshold_uncertainty_score":0.3194735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04704476837524501,"score_gpt":0.4027228031060311,"score_spread":0.3556780347307861,"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."}}