{"id":"W3203891641","doi":"10.2196/32721","title":"Virtual Reality in Health Care: Bibliometric Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Internet; Health care; Medical education; Public relations; Psychology; Political science; Medicine; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01778711,0.0008316395,0.002554572,0.1822554,0.001512886,0.006936408,0.001267887,0.0008767199,0.005218115],"category_scores_gemma":[0.1101743,0.0003228884,0.00305991,0.2923592,0.001001701,0.004085789,0.003006845,0.0005550287,0.0009125134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003590179,"about_ca_system_score_gemma":0.005709566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007441759,"about_ca_topic_score_gemma":0.005503694,"domain_scores_codex":[0.9686792,0.01123567,0.005000075,0.001886268,0.01243354,0.0007652321],"domain_scores_gemma":[0.9098647,0.06581488,0.01155725,0.003208178,0.008626946,0.0009280485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002536538,0.0002492119,0.4961149,0.03481671,0.006539024,0.0004680488,0.003461713,0.007867749,0.0004524383,0.0139107,0.03458093,0.4012849],"study_design_scores_gemma":[0.0001665193,0.0003384696,0.7618725,0.01103871,0.005589081,0.001859003,0.01037399,0.03248522,0.001273189,0.02934606,0.1453413,0.0003160377],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5699142,0.1540702,0.03288804,0.01026381,0.0009688672,0.004393164,0.1338587,0.001728913,0.0919142],"genre_scores_gemma":[0.9063972,0.03882324,0.02373561,0.0003087443,0.0007659962,0.002490487,0.02559226,0.0001348672,0.001751579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8177446,"threshold_uncertainty_score":0.09406835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02382220927478649,"score_gpt":0.3358496085904542,"score_spread":0.3120273993156677,"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."}}