{"id":"W2768762785","doi":"10.1519/jpt.0000000000000158","title":"Score Distributions of the Balance Outcome Measure for Elder Rehabilitation (BOOMER) in Community-Dwelling Older Adults With Vertebral Fracture","year":2017,"lang":"en","type":"article","venue":"Journal of Geriatric Physical Therapy","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Institute for Aging; University Health Network; University of British Columbia; University of Waterloo; Toronto Rehabilitation Institute; McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Ceiling effect; Physical therapy; Physical medicine and rehabilitation; Medicine; Rehabilitation; Balance (ability); Ceiling (cloud); Internal consistency; Baby boomers; Gerontology; Test (biology); Psychometrics; Clinical psychology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009762184,0.0001412038,0.0004482451,0.00005607171,0.0008532531,0.00001324369,0.0004959406,0.0001258276,0.000005097896],"category_scores_gemma":[0.0002970442,0.00008050231,0.000266956,0.0001552271,0.0001098471,0.0003013028,0.00002773578,0.001111036,0.000001331257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000083634,"about_ca_system_score_gemma":0.0001435818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009060949,"about_ca_topic_score_gemma":0.00005852439,"domain_scores_codex":[0.9981662,0.000610247,0.000607703,0.0001033195,0.0002729499,0.000239585],"domain_scores_gemma":[0.9969779,0.0006203848,0.001442167,0.0004772593,0.0004242119,0.00005803889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003774688,0.004177691,0.9537703,0.0006606231,0.0001953968,0.000001461151,0.01927068,0.00002880301,0.005279885,0.001205805,0.001375778,0.01025889],"study_design_scores_gemma":[0.00543519,0.0005435349,0.9855833,0.0008035478,0.000034414,0.000001156715,0.0008383584,0.0001116008,0.00003867476,0.00622936,0.0002860026,0.00009483461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949581,0.0001943084,0.002315833,0.001217819,0.0003743685,0.0007970875,0.00003462223,0.000006552191,0.0001013022],"genre_scores_gemma":[0.9989368,0.00007531481,0.0003560886,0.000123433,0.0004185684,0.00003672922,0.000007195808,0.00001640828,0.00002947928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03181303,"threshold_uncertainty_score":0.656262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02907058714086027,"score_gpt":0.362376850809915,"score_spread":0.3333062636690547,"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."}}