{"id":"W2109932638","doi":"10.1249/mss.0000000000000263","title":"Development and Validation of an Objective Balance Error Scoring System","year":2014,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Richmond Hospital; University of British Columbia","funders":"","keywords":"Intraclass correlation; Balance (ability); Forehead; Inertial measurement unit; Reliability (semiconductor); Physical medicine and rehabilitation; Computer science; Medicine; Statistics; Artificial intelligence; Mathematics; Psychometrics; Surgery","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":[0.004490294,0.0001428509,0.0004874984,0.0005462806,0.0001139591,0.00001230423,0.0002102924,0.00004454596,0.00003879414],"category_scores_gemma":[0.0005809861,0.0001082665,0.00001388648,0.0009689961,0.0008421133,0.000308316,0.00006700235,0.0001689932,0.000003334709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002034,"about_ca_system_score_gemma":0.0003423109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001211096,"about_ca_topic_score_gemma":0.00001085451,"domain_scores_codex":[0.9972501,0.00003433143,0.0005480203,0.0004711342,0.001327845,0.0003685351],"domain_scores_gemma":[0.9988247,0.00007898904,0.0001597012,0.0004229403,0.0002342785,0.0002793748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001054095,0.0000933078,0.8489721,0.0006053873,6.173159e-7,0.00004609801,0.01011798,0.00001050266,0.005151198,0.0000741478,0.0000160453,0.1348072],"study_design_scores_gemma":[0.0009656975,0.0002403257,0.9825138,0.003353323,0.00001924869,0.00006592385,0.006189682,0.002074998,0.004376701,0.00003444068,0.00005961712,0.0001061971],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963161,0.00002397665,0.000160214,0.0001275305,0.0002472686,0.0005913406,3.89168e-7,0.00004362197,0.002489559],"genre_scores_gemma":[0.9936332,0.00001029704,0.006105481,0.00002823441,0.00006386842,0.00004149033,0.000004151817,0.00001186051,0.0001013942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.134701,"threshold_uncertainty_score":0.441498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04339433238769802,"score_gpt":0.3350842020657114,"score_spread":0.2916898696780134,"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."}}