{"id":"W4387446719","doi":"10.1145/3610661.3617157","title":"Multimodal Entrainment in Bio-Responsive Multi-User VR Interactives","year":2023,"lang":"en","type":"article","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Entrainment (biomusicology); Computer science; Human–computer interaction; Physics","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":[0.0005187557,0.0005272213,0.000349066,0.0002508312,0.000254951,0.001049616,0.000809955,0.0006351615,0.006402201],"category_scores_gemma":[0.00112583,0.000241541,0.0003882887,0.000104571,0.0005151422,0.0007031795,0.001910215,0.0003803257,0.0008710494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001810894,"about_ca_system_score_gemma":0.0001218219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003760257,"about_ca_topic_score_gemma":0.0004758697,"domain_scores_codex":[0.9995351,0.0001632777,0.00001558898,0.00009560677,0.0001286371,0.00006173844],"domain_scores_gemma":[0.9997373,0.0001454531,0.00001914236,0.00003362419,0.00002458896,0.00003983291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007924148,0.0002298221,0.001297623,0.0003994804,0.00008160135,0.001375686,0.0037423,0.01380798,0.8477936,0.009952572,0.002069552,0.1184573],"study_design_scores_gemma":[0.0004094313,0.003515938,0.02779414,0.000308918,0.0003977195,0.01053117,0.002195119,0.4127334,0.3958722,0.03426122,0.11142,0.0005608071],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2166486,0.0009166363,0.7646775,0.0003650314,0.0001237297,0.0002028785,0.0001533424,0.003765644,0.01314662],"genre_scores_gemma":[0.8879007,0.0003268362,0.1054252,0.0002336045,0.00008215215,0.0001768637,0.00009565655,0.000272311,0.005486618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006402201,"threshold_uncertainty_score":0.0214175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03387622600556256,"score_gpt":0.327152857945654,"score_spread":0.2932766319400914,"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."}}