{"id":"W2784391784","doi":"10.2196/mhealth.8478","title":"Concussion Assessment With Smartglasses: Validation Study of Balance Measurement Toward a Lightweight, Multimodal, Field-Ready Platform","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Environmental Health Sciences","keywords":"Concussion; Balance (ability); Computer science; Field (mathematics); Poison control; Injury prevention; Physical medicine and rehabilitation; Medicine; Medical emergency","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002012312,0.0008238794,0.0003741575,0.0006136374,0.0002599058,0.0003606439,0.0004340012,0.0005478034,0.001465484],"category_scores_gemma":[0.003171265,0.000212253,0.0003524231,0.0002612329,0.0004346233,0.0004712788,0.0007842671,0.0002335448,0.0006777178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001749207,"about_ca_system_score_gemma":0.0002767444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001582521,"about_ca_topic_score_gemma":0.003195264,"domain_scores_codex":[0.9990823,0.0002769171,0.00009811625,0.0001584683,0.0003252002,0.00005904633],"domain_scores_gemma":[0.9987246,0.0001855744,0.0002646171,0.0001363869,0.0005500276,0.0001387105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008912323,0.005000447,0.6885052,0.001336608,0.0007457415,0.0004099889,0.002870054,0.002877628,0.1442682,0.0004314058,0.001428243,0.1432142],"study_design_scores_gemma":[0.0006077802,0.02645447,0.9514668,0.0001175815,0.0002555055,0.0006874113,0.0008082936,0.007243044,0.01024208,0.0001727955,0.001901524,0.00004281159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948679,0.0001140738,0.003738463,0.0000201214,0.00001996601,0.0004396584,0.0002321309,0.00004863914,0.0005190154],"genre_scores_gemma":[0.9880105,0.0001492047,0.009927598,0.00006828141,0.00003462023,0.0004863639,0.0005930923,0.000009228659,0.0007212115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002012312,"threshold_uncertainty_score":0.01064223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1897553694168237,"score_gpt":0.4536485310706929,"score_spread":0.2638931616538692,"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."}}