{"id":"W4226087830","doi":"10.14283/jfa.2022.21","title":"Recommendations for Reducing Heterogeneity in Handgrip Strength Protocols","year":2022,"lang":"en","type":"article","venue":"The Journal of Frailty & Aging","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Public Health Agency of Canada","funders":"","keywords":"Protocol (science); Consistency (knowledge bases); Measure (data warehouse); Dynamometer; Medicine; Risk analysis (engineering); Function (biology); Instrumentation (computer programming); Reliability engineering; Computer science; Data mining; Artificial intelligence; Engineering; Pathology; Mechanical engineering; Alternative medicine","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.4697993,0.003525103,0.005373587,0.01379014,0.003667644,0.01000274,0.01776115,0.02127928,0.03332966],"category_scores_gemma":[0.7754403,0.004897956,0.01891532,0.01104577,0.004669996,0.0151179,0.009540131,0.02079914,0.01552713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01005486,"about_ca_system_score_gemma":0.06232468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02233515,"about_ca_topic_score_gemma":0.02536227,"domain_scores_codex":[0.4757614,0.3146049,0.1389322,0.00894226,0.0559767,0.005782678],"domain_scores_gemma":[0.1598411,0.4915581,0.04716353,0.0478276,0.2427213,0.01088847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00117945,0.0006352756,0.003953117,0.04300981,0.001398387,0.000379177,0.004819038,0.00146493,0.0009415794,0.01251971,0.5252435,0.404456],"study_design_scores_gemma":[0.00410776,0.0007085943,0.01492852,0.2324886,0.003098382,0.0004949862,0.004987438,0.002541742,0.002811147,0.03144564,0.7014924,0.0008947098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.0061699,0.05301189,0.1664858,0.4889571,0.04617317,0.149638,0.02775449,0.007691222,0.05411841],"genre_scores_gemma":[0.01292241,0.01827268,0.6097999,0.1132021,0.004896637,0.2187753,0.008398941,0.001611989,0.01211997],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4697993,"threshold_uncertainty_score":0.653832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1781016574383928,"score_gpt":0.4399035923280455,"score_spread":0.2618019348896528,"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."}}