{"id":"W3000754034","doi":"10.2196/13657","title":"Software for the Diagnosis of Sarcopenia in Community-Dwelling Older Adults: Design and Validation Study","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sarcopenia; Medicine; Anthropometry; Gerontology; Physical therapy; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001061009,0.00007328422,0.0002331543,0.00005190689,0.0001114798,0.00001233081,0.0001125415,0.00007069941,0.00006388383],"category_scores_gemma":[0.0009593189,0.00004992383,0.00002218421,0.0002012804,0.00006376371,0.00009067297,0.00005295207,0.000432951,0.000003253779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000182157,"about_ca_system_score_gemma":0.00008394563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002157262,"about_ca_topic_score_gemma":0.000005085748,"domain_scores_codex":[0.9987981,0.0001050789,0.0005929546,0.00004151492,0.000335234,0.0001270836],"domain_scores_gemma":[0.9980046,0.001473004,0.0001195857,0.0001277116,0.0001016819,0.0001734615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001464478,0.002412064,0.288725,0.01701867,0.0001120863,0.00001071866,0.456,0.00009432159,0.000003578307,0.0001138316,0.01465751,0.2193877],"study_design_scores_gemma":[0.05359453,0.006975056,0.1315322,0.01266706,0.0003525148,0.00004531902,0.3859202,0.3940065,0.001452895,0.0003686881,0.01247687,0.0006082157],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9161199,0.0002273698,0.07200315,0.007498387,0.00005171702,0.004016957,0.000007267505,0.00004613602,0.00002910175],"genre_scores_gemma":[0.9773296,0.0002566365,0.01527799,0.006632199,0.00005362547,0.0004165362,0.00002161272,0.000009229105,0.000002526512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3939122,"threshold_uncertainty_score":0.2035835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08989573167120261,"score_gpt":0.3801839030648614,"score_spread":0.2902881713936588,"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."}}