{"id":"W3198331590","doi":"10.3389/frvir.2021.720523","title":"Virtual Reality for Veteran Relaxation (VR2) – Introducing VR-Therapy for Veterans With Dementia – Challenges and Rewards of the Therapists Behind the Scenes","year":2021,"lang":"en","type":"article","venue":"Frontiers in Virtual Reality","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Veterans Affairs Canada; York University; University Health Network","funders":"","keywords":"Dementia; Medicine; Population; Health care; Psychology; Burnout; Nursing; Clinical psychology; Disease","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":[0.003987306,0.0002561598,0.0001507369,0.0002247311,0.001364869,0.002053848,0.0007085243,0.0007569516,0.005116243],"category_scores_gemma":[0.007328097,0.0001668778,0.0004674146,0.0002015734,0.001268031,0.000940364,0.003031054,0.001281694,0.0007963766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008994803,"about_ca_system_score_gemma":0.002961543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001832014,"about_ca_topic_score_gemma":0.006527019,"domain_scores_codex":[0.9969658,0.002412609,0.00007288603,0.00008628578,0.0002053645,0.0002570736],"domain_scores_gemma":[0.9977604,0.0009655349,0.000196749,0.0001786912,0.0002283273,0.0006702655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007327971,0.001587601,0.02076576,0.003425552,0.0001085546,0.002338068,0.1911357,0.00126273,0.008591693,0.01008037,0.07591887,0.6840522],"study_design_scores_gemma":[0.0003978937,0.004969886,0.04321996,0.003619205,0.000105326,0.01046716,0.1509252,0.001251914,0.00494706,0.006641004,0.7732592,0.0001962135],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8779272,0.01207703,0.01674805,0.02810168,0.00119365,0.0007444354,0.0003557506,0.0004252609,0.06242695],"genre_scores_gemma":[0.9598891,0.005260028,0.02189896,0.003409853,0.0002845625,0.0007499194,0.0001977986,0.00008366832,0.008226044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005116243,"threshold_uncertainty_score":0.02108717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.030612564545076,"score_gpt":0.2932698792230305,"score_spread":0.2626573146779546,"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."}}