{"id":"W3035437836","doi":"10.1080/23279095.2020.1775599","title":"The effect of diagnostic terminology on cognitive, emotional, and post-concussive sequelae following mild brain injury","year":2020,"lang":"en","type":"article","venue":"Applied Neuropsychology Adult","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Concussion; Rivermead post-concussion symptoms questionnaire; Traumatic brain injury; Psychology; Beck Depression Inventory; Cognition; Anxiety; Clinical psychology; Neuropsychological assessment; Neuropsychology; Poison control; Psychiatry; Injury prevention; Medicine; Medical emergency","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002899859,0.0002547238,0.000270787,0.0003821427,0.0003414664,0.000662329,0.000366374,0.0004540289,0.00210893],"category_scores_gemma":[0.03713986,0.0001098813,0.0002957543,0.0002736742,0.0007189874,0.0006476606,0.000905979,0.0004851863,0.000187005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003782969,"about_ca_system_score_gemma":0.0003455089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009631435,"about_ca_topic_score_gemma":0.001968005,"domain_scores_codex":[0.9978404,0.001261397,0.0002180943,0.0001243851,0.0004050011,0.0001507024],"domain_scores_gemma":[0.9810594,0.01133823,0.005116445,0.0004191948,0.0009430967,0.001123681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03112583,0.005481448,0.8598992,0.0005332886,0.0003835169,0.0003623845,0.00671223,0.0003109599,0.01079475,0.0002257121,0.0005119649,0.0836588],"study_design_scores_gemma":[0.0001305613,0.007616407,0.9874961,0.00006472421,0.0001229728,0.0002466891,0.002417466,0.0002730996,0.001164805,0.0001470074,0.0003014159,0.00001869011],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999463,0.0001110817,0.00002534904,0.00004388497,0.000007012788,0.00001077918,0.00001073844,0.000001102952,0.0003270493],"genre_scores_gemma":[0.999666,0.00005440482,0.000081838,0.00003238881,0.00000659994,0.00001437882,0.0000247872,9.176659e-7,0.0001187434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002899859,"threshold_uncertainty_score":0.0153361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02895072229844446,"score_gpt":0.336217631337106,"score_spread":0.3072669090386615,"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."}}