{"id":"W2890014144","doi":"10.1038/s41598-018-32808-1","title":"Investigating the validity and reliability of Electrovestibulography (EVestG) for detecting post-concussion syndrome (PCS) with and without comorbid depression","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Mitacs","keywords":"Depression (economics); Correlation; Rivermead post-concussion symptoms questionnaire; Psychology; Medicine; Internal medicine; Psychiatry; Clinical psychology; Traumatic brain injury; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01044058,0.0006735955,0.0006430182,0.001398223,0.0003585585,0.001127651,0.0006768487,0.001060993,0.0005528888],"category_scores_gemma":[0.03641177,0.0003111463,0.0007121707,0.0005485103,0.0006085166,0.0007637656,0.0009744713,0.0005747818,0.0005908328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002305419,"about_ca_system_score_gemma":0.0003952047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001727941,"about_ca_topic_score_gemma":0.002877794,"domain_scores_codex":[0.9961216,0.001228174,0.0005640635,0.001023266,0.0008082126,0.0002547545],"domain_scores_gemma":[0.9812449,0.01000311,0.00221795,0.001639185,0.004340922,0.0005539464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009493384,0.0001030015,0.9742521,0.00007888243,0.0004427864,0.00005488342,0.0002020363,0.0007674721,0.002688534,0.00003923344,0.0003329919,0.02008864],"study_design_scores_gemma":[0.00008276947,0.0009568788,0.9709235,0.00006326118,0.0004285919,0.0005860992,0.0002434898,0.02323722,0.002701888,0.0001722204,0.0005704708,0.00003352613],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944669,0.0005438779,0.003702116,0.00007596389,0.00005730267,0.0000899488,0.0004681439,0.00004727135,0.0005485301],"genre_scores_gemma":[0.995995,0.0002196674,0.00234093,0.00004593535,0.00007007753,0.00004838548,0.001080335,0.00001320664,0.0001864271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01044058,"threshold_uncertainty_score":0.05521572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04133482807805024,"score_gpt":0.3246311359514859,"score_spread":0.2832963078734357,"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."}}