{"id":"W3112118022","doi":"10.4018/ijgcms.2020100101","title":"Experiencing Presence in a Gaming Activity Improves Mood After a Negative Mood Induction","year":2020,"lang":"en","type":"article","venue":"International Journal of Gaming and Computer-Mediated Simulations","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chinese Academy of Sciences; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Branco Weiss Fellowship – Society in Science; University of Bern; École Polytechnique Fédérale de Lausanne; York University; Harvard University; National Science Foundation","keywords":"Immersion (mathematics); Mood; Psychology; Negative mood; Social psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002357196,0.0002560828,0.0002611841,0.0001346651,0.0002107325,0.0003991539,0.0001195064,0.0002114154,0.002449475],"category_scores_gemma":[0.001246255,0.0001111988,0.0002825163,0.00004872066,0.0002103182,0.0001455888,0.0004541834,0.0003896284,0.0001844974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007814933,"about_ca_system_score_gemma":0.00009430988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002717035,"about_ca_topic_score_gemma":0.00058972,"domain_scores_codex":[0.9998537,0.00004593581,0.00001132738,0.0000237137,0.00002392106,0.00004136962],"domain_scores_gemma":[0.9996407,0.000119707,0.00005458065,0.00003123924,0.00002609584,0.0001276357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01395117,0.0143703,0.06617408,0.0009595936,0.0005341834,0.0004732397,0.003142524,0.0005365148,0.6159759,0.000424146,0.001207058,0.2822512],"study_design_scores_gemma":[0.000548838,0.04202659,0.8892908,0.0001265059,0.0004788772,0.000741824,0.001607423,0.001813039,0.05861304,0.0007096148,0.003977334,0.00006615394],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981729,0.0001260317,0.0005071283,0.00003520818,0.00002483577,0.00002581936,0.00002329015,0.00002441583,0.001060302],"genre_scores_gemma":[0.9986877,0.0001070376,0.0006381389,0.00002258217,0.00001455916,0.00002553972,0.0000326894,0.000003055881,0.0004686849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002449475,"threshold_uncertainty_score":0.008194327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02236582454265068,"score_gpt":0.2855032179245046,"score_spread":0.2631373933818539,"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."}}