{"id":"W4400526365","doi":"10.1109/gem61861.2024.10585501","title":"StudyVR: A Framework for Streamlining VR User Study Design","year":2024,"lang":"en","type":"article","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Human–computer interaction; Virtual reality; Software engineering","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":[0.1496766,0.002446677,0.002045513,0.006428325,0.001834807,0.009691061,0.00867305,0.003745752,0.01683208],"category_scores_gemma":[0.1745595,0.003915547,0.002812705,0.002698578,0.004351413,0.007288594,0.01323594,0.005051031,0.006462577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002332419,"about_ca_system_score_gemma":0.007640109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002310486,"about_ca_topic_score_gemma":0.003995129,"domain_scores_codex":[0.9026719,0.07618987,0.007879267,0.005603341,0.00649315,0.001162595],"domain_scores_gemma":[0.7108081,0.2189752,0.007899385,0.04306462,0.01423792,0.005014794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001449667,0.001131801,0.005294487,0.006634558,0.0004917051,0.0009876384,0.03166598,0.00890557,0.0228566,0.1152133,0.03662299,0.7687457],"study_design_scores_gemma":[0.002134616,0.001938834,0.004447778,0.004385799,0.0004679736,0.001281158,0.005947548,0.05606385,0.01765435,0.1644743,0.7404234,0.0007804038],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001036788,0.0002075868,0.9849701,0.0004519804,0.0001546506,0.003245024,0.000397036,0.008154551,0.001382363],"genre_scores_gemma":[0.006503798,0.0001615152,0.9836209,0.0002145597,0.00007276472,0.007352541,0.0003547369,0.0009548073,0.0007643804],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1496766,"threshold_uncertainty_score":0.7915752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.10204415233013,"score_gpt":0.3826777411600534,"score_spread":0.2806335888299234,"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."}}