{"id":"W4206394254","doi":"10.1016/j.medengphy.2021.103749","title":"Reproducibility of dynamometers in handrail format in evaluating handgrip strength and traction in young and older adults","year":2022,"lang":"en","type":"article","venue":"Medical Engineering & Physics","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Cégep de Jonquière; Université du Québec à Chicoutimi","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Dynamometer; Intraclass correlation; Stair climbing; Isometric exercise; Reproducibility; Physical medicine and rehabilitation; Physical therapy; Traction (geology); Hand strength; Grip strength; Medicine; Mathematics; Engineering; Mechanical engineering; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.003132373,0.00008710299,0.000233558,0.00009129243,0.0000584915,0.000002394406,0.000056099,0.00007605443,0.000009571065],"category_scores_gemma":[0.0007598327,0.00008975478,0.00001894203,0.0002807649,0.00002271263,0.0001300189,0.00009485416,0.0007645976,3.027428e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001326531,"about_ca_system_score_gemma":0.00005991007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006356193,"about_ca_topic_score_gemma":0.0005304891,"domain_scores_codex":[0.9984524,0.0001959073,0.0004719341,0.0003474327,0.0003058942,0.0002264278],"domain_scores_gemma":[0.9993917,0.0002192104,0.00009608614,0.0002177818,0.00001734533,0.00005789414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003835353,0.001832015,0.6939876,0.004518211,0.00002851191,0.00001658885,0.04580961,0.001917575,0.008850341,0.0004214744,0.00005322271,0.2421813],"study_design_scores_gemma":[0.002137964,0.00005332731,0.7349178,0.0006164688,0.000004105522,0.000001338862,0.001183502,0.2608622,0.000008139683,0.0001318083,0.000009265928,0.00007405102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985459,0.0001841634,0.0004617863,0.00009702821,0.0002785724,0.0003619671,0.000006118311,0.00001858889,0.00004585757],"genre_scores_gemma":[0.999543,0.00006811894,0.0001598365,0.00001969076,0.00005018701,0.0001154005,0.00002101709,0.0000101132,0.00001265835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2589446,"threshold_uncertainty_score":0.3660094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01622346204157291,"score_gpt":0.3284276996882252,"score_spread":0.3122042376466522,"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."}}