{"id":"W4388840832","doi":"10.54254/2753-7048/23/20230498","title":"Research on the Exercise Prescription to Reduce the Health Problems of the Elderly Caused by Social Environment in China","year":2023,"lang":"en","type":"article","venue":"Lecture Notes in Education Psychology and Public Media","topic":"Health and Wellbeing Research","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medical prescription; China; Exercise prescription; Public health; Medicine; Gerontology; Scope (computer science); Family medicine; Physical therapy; Nursing; Computer science; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001607701,0.0002943936,0.0003910275,0.0008677627,0.0007606706,0.0005433008,0.0004072981,0.0003401434,0.00144066],"category_scores_gemma":[0.001418852,0.0001667025,0.0005562121,0.001162761,0.0003180744,0.0005984358,0.0004017755,0.0003372464,0.00006820119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123154,"about_ca_system_score_gemma":0.007372243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02396453,"about_ca_topic_score_gemma":0.04624702,"domain_scores_codex":[0.99957,0.000134954,0.00004993668,0.00004907667,0.00009184104,0.0001042676],"domain_scores_gemma":[0.9996178,0.00009639576,0.00008320381,0.00001192742,0.00009392929,0.00009679788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000559468,0.005544401,0.3564692,0.01539069,0.0008632622,0.0006648157,0.01703224,0.0006605973,0.005701602,0.004723532,0.004658205,0.587732],"study_design_scores_gemma":[0.0002032719,0.001868486,0.9710348,0.002073353,0.0008035283,0.0001554547,0.008835142,0.0006484306,0.001028434,0.0007320445,0.01258671,0.00003050997],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719678,0.01750169,0.000424523,0.00322785,0.0001114311,0.0003276836,0.0001234575,0.000007817189,0.006307773],"genre_scores_gemma":[0.9711319,0.02509209,0.001117264,0.0007961308,0.00006473254,0.0002094218,0.00009388343,0.000002309066,0.001492287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02396453,"threshold_uncertainty_score":0.0476501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1100078603420466,"score_gpt":0.4915617123775197,"score_spread":0.381553852035473,"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."}}