{"id":"W2891555383","doi":"10.1016/j.jcrc.2018.09.011","title":"Robotic technology provides objective and quantifiable metrics of neurocognitive functioning in survivors of critical illness:A feasibility study","year":2018,"lang":"en","type":"article","venue":"Journal of Critical Care","topic":"Intensive Care Unit Cognitive Disorders","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kingston Health Sciences Centre; Queen's University","funders":"","keywords":"Medicine; Repeatable Battery for the Assessment of Neuropsychological Status; Neurocognitive; Mechanical ventilation; Neuropsychology; Physical therapy; Emergency medicine; Cognition; Physical medicine and rehabilitation; Psychiatry","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":[0.003200493,0.0007915195,0.0004019128,0.000736768,0.0004120574,0.0007506362,0.0005415974,0.000771334,0.001293702],"category_scores_gemma":[0.005583562,0.0002659332,0.0003946657,0.000351214,0.001065533,0.001244641,0.0007211586,0.0006361342,0.0002496735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004111734,"about_ca_system_score_gemma":0.0007693333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001508475,"about_ca_topic_score_gemma":0.001847122,"domain_scores_codex":[0.9986136,0.0007357014,0.0000825379,0.0001365297,0.0002965947,0.0001350673],"domain_scores_gemma":[0.996935,0.001309903,0.0005118184,0.0002822644,0.0006932094,0.0002677157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04149933,0.02789412,0.7272239,0.0008216148,0.0007514243,0.00123375,0.003479717,0.00194611,0.05841259,0.0004865692,0.001185303,0.1350656],"study_design_scores_gemma":[0.002186224,0.200649,0.7667282,0.0001522342,0.0006038749,0.001810117,0.003589251,0.00699339,0.01500499,0.0005364721,0.001578494,0.0001678199],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983753,0.0001138472,0.0008938006,0.00002864736,0.000009474062,0.0002213155,0.00006768776,0.000006899057,0.0002828898],"genre_scores_gemma":[0.9977763,0.0001026698,0.001499373,0.00003973151,0.00002164446,0.0003038534,0.00008916575,0.000003857186,0.0001634055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003200493,"threshold_uncertainty_score":0.01692599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03521594438155229,"score_gpt":0.3605046164337565,"score_spread":0.3252886720522042,"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."}}