{"id":"W2805929422","doi":"10.1186/s12984-018-0374-y","title":"Post-stroke unilateral spatial neglect: virtual reality-based navigation and detection tasks reveal lateralized and non-lateralized deficits in tasks of varying perceptual and cognitive demands","year":2018,"lang":"en","type":"article","venue":"Journal of NeuroEngineering and Rehabilitation","topic":"Spatial Neglect and Hemispheric Dysfunction","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish Rehabilitation Hospital; McGill University","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Psychology; Physical medicine and rehabilitation; Virtual reality; Cognition; Neglect; Perception; Stroke (engine); Cognitive psychology; Spatial memory; Hemispatial neglect; Audiology; Neuroscience; Working memory; Medicine; Computer science; Artificial intelligence; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002283426,0.0001712486,0.0003004952,0.0002593518,0.0001202072,0.00005773295,0.00003437328,0.00009187164,0.000002725239],"category_scores_gemma":[0.0005885878,0.0001566213,0.00004106828,0.0001762282,0.0002026905,0.000360107,0.00002432801,0.0002381789,1.390762e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002739472,"about_ca_system_score_gemma":0.00002396124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002103714,"about_ca_topic_score_gemma":0.00002777215,"domain_scores_codex":[0.9986918,0.0001665836,0.0005166732,0.0002525625,0.0002033945,0.0001689741],"domain_scores_gemma":[0.9988621,0.0005533522,0.0002508485,0.0000584696,0.0001819132,0.00009335229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001577051,0.00004060171,0.00485186,0.0001478848,0.000007929607,0.00000891095,0.003172822,0.0008076977,0.9765886,0.00000445535,0.000001290738,0.01279086],"study_design_scores_gemma":[0.008629805,0.01146737,0.6085532,0.001052908,0.0001470613,0.0004023798,0.0004372233,0.2488526,0.1198673,0.0001639154,0.00002046214,0.0004057419],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925311,0.00003257255,0.006773138,0.0001814178,0.0002323844,0.0002138278,0.00001126578,0.00001622967,0.000008051507],"genre_scores_gemma":[0.9993177,0.00004083221,0.000449903,0.00006646069,0.00008986571,0.000004661731,0.000003274209,0.00001801823,0.000009279946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8567213,"threshold_uncertainty_score":0.6386831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009148659061725,"score_gpt":0.2445537013398687,"score_spread":0.2354050422781437,"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."}}