{"id":"W3105398468","doi":"10.2196/19580","title":"Use of Virtual Reality to Assess Dynamic Posturography and Sensory Organization: Instrument Validation Study","year":2020,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intraclass correlation; Posturography; Center of pressure (fluid mechanics); Physical medicine and rehabilitation; Physical therapy; Psychology; Simulation; Statistics; Computer science; Balance (ability); Mathematics; Medicine; Psychometrics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002078182,0.0001399496,0.0002661706,0.00007897636,0.0002046548,0.00002383553,0.00009235863,0.0001052664,0.00001662394],"category_scores_gemma":[0.0001183728,0.0001340594,0.0000265553,0.0004989853,0.00003126487,0.0002086018,0.0001401958,0.0002006967,0.00002246194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004183916,"about_ca_system_score_gemma":0.00006530058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000949398,"about_ca_topic_score_gemma":0.0001131633,"domain_scores_codex":[0.9983079,0.0005094515,0.0004486846,0.0003105279,0.0002228088,0.0002006412],"domain_scores_gemma":[0.9990836,0.00009076304,0.0002248217,0.0002315412,0.0002187041,0.0001505027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002542225,0.001145588,0.8766512,0.000407485,0.0001506899,0.000007673905,0.02473157,0.00001380633,0.07473322,0.0003797317,0.002183011,0.01934181],"study_design_scores_gemma":[0.0007165663,0.0006532711,0.991604,0.00005551148,0.00003367977,8.760882e-7,0.005235417,0.0001119831,0.00005526933,0.00002421114,0.001379201,0.0001300352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958477,0.00001460308,0.0003207217,0.001432222,0.0002230696,0.00190867,0.00005911776,0.0001242468,0.00006966512],"genre_scores_gemma":[0.9985898,0.00005499312,0.0002639056,0.0006839905,0.00006649512,0.0000762795,0.00009186938,0.0000249907,0.0001477135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1149528,"threshold_uncertainty_score":0.5466785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06720735204291563,"score_gpt":0.374568017275816,"score_spread":0.3073606652329003,"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."}}