{"id":"W2055817008","doi":"10.2165/11319440-000000000-00000","title":"Measuring Deficits in Visually Guided Action Post-Concussion","year":2010,"lang":"en","type":"article","venue":"Sports Medicine","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Concussion; Psychomotor learning; Physical medicine and rehabilitation; Athletes; Poison control; Sports medicine; Task (project management); Injury prevention; Test (biology); Medicine; Human factors and ergonomics; Cognition; Psychology; Physical therapy; Medical emergency; Psychiatry; Engineering","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":[0.00043901,0.000565808,0.0003480812,0.001161207,0.0002968447,0.0005131314,0.0004540778,0.000875824,0.002443474],"category_scores_gemma":[0.003770823,0.0001969499,0.0002260017,0.0004166645,0.0003129519,0.0004715669,0.0005286839,0.0005438783,0.0006600007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005500116,"about_ca_system_score_gemma":0.0005906646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0109503,"about_ca_topic_score_gemma":0.01774328,"domain_scores_codex":[0.9995365,0.00006690848,0.00005327318,0.00009680062,0.0001638356,0.00008265248],"domain_scores_gemma":[0.9985998,0.0003508004,0.0004932932,0.00006287886,0.0002838854,0.0002092255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01385248,0.003323039,0.6428695,0.0006819873,0.000495074,0.0007733348,0.002322849,0.002310074,0.1186848,0.0002636621,0.00235021,0.2120731],"study_design_scores_gemma":[0.00008447443,0.003535245,0.9857301,0.0000479176,0.0001091685,0.0005997465,0.0003117271,0.00134286,0.007608284,0.0001365078,0.000471383,0.00002270084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964653,0.0001857191,0.0005495045,0.00002705522,0.00001053079,0.000104331,0.0002707663,0.00004636039,0.0023403],"genre_scores_gemma":[0.9953548,0.0002305284,0.001380415,0.00006158521,0.000009059285,0.0001386999,0.0003567433,0.00001804231,0.002450253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0109503,"threshold_uncertainty_score":0.0217731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1112577850056942,"score_gpt":0.3844924164689471,"score_spread":0.2732346314632529,"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."}}