{"id":"W4396975764","doi":"10.1186/s12984-024-01378-x","title":"Exploring the challenges of avoiding collisions with virtual pedestrians using a dual-task paradigm in individuals with chronic moderate to severe traumatic brain injury","year":2024,"lang":"en","type":"article","venue":"Journal of NeuroEngineering and Rehabilitation","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre for Interdisciplinary Research in Rehabilitation; Concordia University; Montreal Children's Hospital; McGill University; Jewish Rehabilitation Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Traumatic brain injury; Task (project management); Physical medicine and rehabilitation; Neurology; Dual (grammatical number); Psychology; Neuroscience; Medicine; Cognitive psychology; 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":[0.0002058715,0.0004588843,0.0003275612,0.0003473542,0.0004457029,0.0003130698,0.0002768325,0.0004623115,0.001205416],"category_scores_gemma":[0.0007054607,0.0001963511,0.000179078,0.0001117142,0.0002845073,0.0002109734,0.0005242542,0.0003648112,0.0001638095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001867986,"about_ca_system_score_gemma":0.0002736429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003400023,"about_ca_topic_score_gemma":0.008130071,"domain_scores_codex":[0.9998868,0.00001887153,0.00001214161,0.00002771069,0.0000219599,0.00003259912],"domain_scores_gemma":[0.9997529,0.00003423461,0.000080744,0.00001492152,0.0000388248,0.00007841583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01143226,0.009239455,0.6755683,0.0006574208,0.000232138,0.001751257,0.008178057,0.001663746,0.2489969,0.0001141366,0.0005385411,0.04162772],"study_design_scores_gemma":[0.00008701699,0.009112669,0.9820856,0.00002184418,0.00005297524,0.0007567153,0.002413795,0.001356584,0.003708031,0.0001217741,0.0002596621,0.00002338466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998443,0.000008166309,0.00006223621,0.00000352159,5.847047e-7,0.00001034455,0.00001295709,8.327164e-7,0.00005702957],"genre_scores_gemma":[0.9991742,0.00002451343,0.0004800007,0.0000123384,0.000002606818,0.00004580983,0.00006145795,6.345421e-7,0.000198419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003400023,"threshold_uncertainty_score":0.006760478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0910481889506937,"score_gpt":0.3208220028008636,"score_spread":0.2297738138501699,"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."}}