{"id":"W4240255113","doi":"10.21203/rs.3.rs-36416/v1","title":"Physical Frailty and Its Associated Factors Among Elderly Nursing Home Residents in China","year":2020,"lang":"en","type":"preprint","venue":"Research Square (Research Square)","topic":"Frailty in Older Adults","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"China; Nursing homes; Gerontology; Medicine; Nursing; Geography","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":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.008039978,0.001252388,0.002496144,0.003981653,0.0009148836,0.0009014702,0.001911564,0.001849125,0.0003754008],"category_scores_gemma":[0.02216315,0.001207396,0.0006028665,0.004554208,0.002007593,0.0006253585,0.003881922,0.02146603,0.0003242332],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004485508,"about_ca_system_score_gemma":0.00303561,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01003853,"about_ca_topic_score_gemma":0.001574018,"domain_scores_codex":[0.9731074,0.006160104,0.001379167,0.003455462,0.01130146,0.004596388],"domain_scores_gemma":[0.9873597,0.004365343,0.0002959537,0.002107465,0.003116883,0.002754642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003693264,0.01059361,0.7791079,0.0191414,0.001609005,0.00805134,0.08087131,0.0002464084,0.01289333,0.001157716,0.05282395,0.02981082],"study_design_scores_gemma":[0.004106838,0.003296812,0.9473441,0.01793853,0.0000687197,0.00001543403,0.003148426,0.00908736,0.002438321,0.01137249,0.0001685993,0.001014346],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747548,0.002156809,0.00001918379,0.01142027,0.0003628754,0.007364677,0.0005313267,0.000419939,0.002970111],"genre_scores_gemma":[0.9933791,0.001188236,0.00006346829,0.00002804596,0.00100293,0.0006225093,0.00114156,0.0003813452,0.002192811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1682363,"threshold_uncertainty_score":0.9994467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1286651805509447,"score_gpt":0.4486688740946578,"score_spread":0.3200036935437132,"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."}}