{"id":"W3120804386","doi":"10.3389/fneur.2020.618330","title":"A Multidimensional Virtual Reality Neurorehabilitation Approach to Improve Functional Memory: Who Is the Ideal Candidate?","year":2021,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministero della Salute; Fondazione Cariplo","keywords":"Neurorehabilitation; Physical medicine and rehabilitation; Logistic regression; Minimal clinically important difference; Medicine; Rivermead post-concussion symptoms questionnaire; Rehabilitation; Physical therapy; Random forest; Randomized controlled trial; Internal medicine; Machine learning; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001922943,0.000307876,0.0005074334,0.0004266723,0.0002726169,0.0005805425,0.0002958818,0.0003687005,0.001730824],"category_scores_gemma":[0.00381106,0.00009540827,0.000368197,0.0001598069,0.0003388995,0.0005248011,0.0004173649,0.0002734879,0.0002623361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001720985,"about_ca_system_score_gemma":0.0007502864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002263951,"about_ca_topic_score_gemma":0.001090942,"domain_scores_codex":[0.9993708,0.000371598,0.00003684379,0.00006747263,0.00008315541,0.00007024225],"domain_scores_gemma":[0.9990988,0.0003400483,0.0002615316,0.00005490242,0.00007661904,0.0001681129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004818975,0.002321118,0.436327,0.000647924,0.0002986016,0.0004331555,0.0006304227,0.002195297,0.003209451,0.0009283035,0.001304283,0.5468854],"study_design_scores_gemma":[0.001392327,0.04959781,0.8767904,0.002327242,0.0009589118,0.004692301,0.004537782,0.03194948,0.007944115,0.006401184,0.01323016,0.0001782894],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987043,0.006077426,0.00428603,0.00143835,0.00005560377,0.000128157,0.00008917273,0.00002075103,0.0008614775],"genre_scores_gemma":[0.9944984,0.0009624508,0.004002792,0.0001363613,0.0000450319,0.00008590183,0.00006893327,0.000001298819,0.0001988444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001922943,"threshold_uncertainty_score":0.01016963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206713489364235,"score_gpt":0.2482366986367945,"score_spread":0.2361695637431521,"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."}}