{"id":"W4386166541","doi":"10.3389/fcomm.2023.1203242","title":"VR content and its prosocial impact: predictors, moderators, and mediators of media effects. A systematic literature review","year":2023,"lang":"en","type":"article","venue":"Frontiers in Communication","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Ministerio de Universidades; Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana; Generalitat Valenciana; Fisheries Joint Management Committee; Universidad Miguel Hernández","keywords":"Prosocial behavior; Psychology; Virtual reality; Narrative; Feeling; Social psychology; Social media; Affordance; Content (measure theory); Cognitive psychology; Computer science; Human–computer interaction; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009716008,0.0001295104,0.0004238881,0.0001510018,0.00008453483,0.00007841191,0.0005356582,0.00009288125,2.073582e-7],"category_scores_gemma":[0.0008193073,0.0001047715,0.00004068854,0.0009205955,0.00006111625,0.000444453,0.0002729419,0.0001677394,0.000001049734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006433163,"about_ca_system_score_gemma":0.00005475243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001217777,"about_ca_topic_score_gemma":0.000006804585,"domain_scores_codex":[0.9986535,0.0003572709,0.0004022386,0.0001954445,0.0002302243,0.0001613218],"domain_scores_gemma":[0.9985571,0.000312443,0.0002223608,0.000689072,0.0001133704,0.0001056853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001194631,0.0009336338,0.05442999,0.4483517,0.000893245,0.0000246738,0.1451831,0.00006133023,0.002820967,0.1418397,0.1047829,0.1005593],"study_design_scores_gemma":[0.005198551,0.0008388669,0.2425688,0.3096426,0.0004917075,0.00007447285,0.001917167,0.3985178,0.002528579,0.03558455,0.0007504999,0.00188637],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1456258,0.8245382,0.01982774,0.004017949,0.0004327318,0.005013692,0.00008935442,0.0002778339,0.0001766904],"genre_scores_gemma":[0.8375975,0.1593314,0.002653066,0.0001080012,0.00001142078,0.0002250853,0.00005566127,0.000008646535,0.000009190932],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6919718,"threshold_uncertainty_score":0.4272456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808029889815741,"score_gpt":0.2728798917788134,"score_spread":0.254799592880656,"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."}}