{"id":"W2414055396","doi":"10.1139/apnm-2015-0483","title":"Age, human performance, and physical employment standards","year":2016,"lang":"en","type":"review","venue":"Applied Physiology Nutrition and Metabolism","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Aging in the American workforce; Cardiorespiratory fitness; Work (physics); Vulnerability (computing); Context (archaeology); Gerontology; Psychology; Medicine; Physical therapy; Engineering; Computer science; Economics; Computer security; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001571727,0.0005072073,0.001654033,0.0001926592,0.0002010531,0.00002527955,0.0001606467,0.0003789128,0.0001718134],"category_scores_gemma":[0.00000269888,0.0003710051,0.0002590513,0.000102773,0.0004078172,0.00004313817,0.0001301228,0.0003449962,0.00008710996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002721485,"about_ca_system_score_gemma":0.00003752518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007578652,"about_ca_topic_score_gemma":0.000001331661,"domain_scores_codex":[0.9981784,0.0001235365,0.0004003606,0.0007523587,0.0001181465,0.0004271522],"domain_scores_gemma":[0.9991462,0.00007384922,0.0002239872,0.0003700296,0.00003428762,0.0001516763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001758563,0.000238868,1.586769e-7,0.002197473,0.0002602968,0.000001223351,0.0001126743,3.76701e-9,0.0001343177,0.1101812,0.002661308,0.8841949],"study_design_scores_gemma":[0.001802536,0.00003005334,0.00171013,0.0007947614,0.0004056671,0.000006524243,0.00003552824,8.718889e-8,0.000001516411,0.004255175,0.9905252,0.0004327872],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0115115,0.974526,0.000003706801,0.00001764046,0.0003898183,0.0009884763,0.0002783114,0.00006512609,0.01221945],"genre_scores_gemma":[0.006280712,0.9908836,0.00002232558,0.0001292596,0.0006875396,0.001122066,0.0002865825,0.00006762322,0.0005202201],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9878639,"threshold_uncertainty_score":0.9998742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02433362545540769,"score_gpt":0.3449494584782287,"score_spread":0.320615833022821,"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."}}