{"id":"W4296078753","doi":"10.12927/hcq.2022.26887","title":"Virtual Reality in Today’s Healthcare Settings: An Analysis Using the Alberta Quality Matrix for Health","year":2022,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; University of Calgary; Alberta Health Services","funders":"","keywords":"Health care; Variety (cybernetics); Virtual reality; Quality (philosophy); Rehabilitation; Mental healthcare; Modality (human–computer interaction); Quality management; Nursing; Medicine; Psychology; Business; Computer science; Human–computer interaction; Political science; Physical therapy; Marketing; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.005636911,0.0002274312,0.0003278152,0.006322598,0.00144961,0.003554502,0.0008088729,0.0003636644,0.002327353],"category_scores_gemma":[0.01736953,0.000192997,0.0006477223,0.01542887,0.001523201,0.00109855,0.002909976,0.0008963631,0.000144265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01591235,"about_ca_system_score_gemma":0.01645206,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5189862,"about_ca_topic_score_gemma":0.5862924,"domain_scores_codex":[0.9937665,0.001975938,0.0002911073,0.0001952969,0.003134679,0.0006364021],"domain_scores_gemma":[0.9899769,0.00422139,0.001461808,0.0003799195,0.003315852,0.0006440313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002430328,0.0001708151,0.5520544,0.001065594,0.0002828218,0.00048111,0.05074666,0.003734768,0.0006039956,0.05560041,0.01830537,0.316711],"study_design_scores_gemma":[0.00001263037,0.0001133879,0.8865408,0.0005114406,0.0001090392,0.000312159,0.0762578,0.004297444,0.0001548012,0.003225912,0.02841847,0.00004602555],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9166872,0.006755276,0.01414924,0.008764737,0.00009799264,0.0006073409,0.004560646,0.0001028503,0.04827469],"genre_scores_gemma":[0.9888999,0.001503291,0.006839816,0.0002703028,0.00001179559,0.000133509,0.001148229,0.00002611562,0.001166937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5189862,"threshold_uncertainty_score":0.9676933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04592794797582325,"score_gpt":0.417409392239397,"score_spread":0.3714814442635738,"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."}}