{"id":"W4311069564","doi":"10.3389/fneur.2022.1039955","title":"Eye tracking for classification of concussion in adults and pediatrics","year":2022,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; York University; Steven and Alexandra Cohen Foundation; U.S. Department of Defense; Hennepin County Medical Center; Office of Research and Development; U.S. Department of Veterans Affairs","keywords":"Concussion; Physical medicine and rehabilitation; Medicine; Eye tracking; Pediatrics; Poison control; Injury prevention; Medical emergency; Artificial intelligence; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002222751,0.0005123221,0.0005195928,0.001903565,0.000306596,0.0009331133,0.0003989824,0.0007448963,0.002568416],"category_scores_gemma":[0.006869426,0.0001816511,0.000324145,0.0007147572,0.000289044,0.0006697458,0.0004408981,0.0005062493,0.0008658103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005381269,"about_ca_system_score_gemma":0.0006084997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002758082,"about_ca_topic_score_gemma":0.00449278,"domain_scores_codex":[0.9988335,0.0003999262,0.000147811,0.0002399651,0.0002966696,0.00008220544],"domain_scores_gemma":[0.9969074,0.00115808,0.0008489925,0.0001566974,0.0007506025,0.0001781977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000848052,0.0001965521,0.8937148,0.0001958558,0.00009874799,0.000133179,0.0001181711,0.0008256047,0.004280457,0.0002100018,0.002015032,0.09736353],"study_design_scores_gemma":[0.00005696407,0.0009550291,0.9748254,0.0001874879,0.00009436066,0.001666063,0.000165218,0.01370747,0.005223376,0.0004354749,0.002653508,0.0000294752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613425,0.004801207,0.02013895,0.0006399436,0.0001807292,0.0005494001,0.003216668,0.0004747319,0.008655891],"genre_scores_gemma":[0.9760627,0.0009664532,0.0203415,0.0001568525,0.00007057871,0.0001874071,0.001013183,0.00002230084,0.001178995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002758082,"threshold_uncertainty_score":0.01175517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03786492654492237,"score_gpt":0.3283645922943703,"score_spread":0.290499665749448,"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."}}