{"id":"W2796431678","doi":"10.29007/nvd7","title":"A Longitudinal Pilot Study of Presence in Immersive VR","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Fidelity; Affect (linguistics); Longitudinal study; Significant difference; High fidelity; Human–computer interaction; Virtual reality; Computer science; Psychology; Medicine; Engineering; Communication","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":[0.005035629,0.0006823361,0.0006951605,0.0007904051,0.002251511,0.001049212,0.0005370716,0.001017831,0.002170842],"category_scores_gemma":[0.008169197,0.0005022067,0.0006568109,0.0002490095,0.0008933423,0.001031758,0.001389041,0.001603302,0.0007828104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003345148,"about_ca_system_score_gemma":0.0008122966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002211892,"about_ca_topic_score_gemma":0.003082965,"domain_scores_codex":[0.9977759,0.0009712545,0.0001581445,0.0003763995,0.0003734449,0.0003447561],"domain_scores_gemma":[0.9923718,0.001794394,0.0007230085,0.001037953,0.001630816,0.002442083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005015034,0.08760264,0.6845231,0.0004590843,0.0003081176,0.006642045,0.06905145,0.0005684062,0.0559014,0.0003815336,0.002483696,0.08706353],"study_design_scores_gemma":[0.0005446651,0.172644,0.7835026,0.0001058273,0.0002254879,0.003360195,0.02340395,0.001086612,0.007877796,0.0004259652,0.006582957,0.0002398201],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984641,0.00007809436,0.000688543,0.00003679879,0.0000196534,0.0002086601,0.00008083788,0.00002703678,0.0003963081],"genre_scores_gemma":[0.9967616,0.0000756486,0.001283498,0.00008259661,0.00002463273,0.0004519677,0.0002097372,0.00001245867,0.001097873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005035629,"threshold_uncertainty_score":0.02663124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07012509673555203,"score_gpt":0.3361562234784695,"score_spread":0.2660311267429175,"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."}}