{"id":"W3029521239","doi":"10.1145/3313831.3376724","title":"\"Transport Me Away\": Fostering Flow in Open Offices through Virtual Reality","year":2020,"lang":"en","type":"article","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Virtual reality; Computer science; Productivity; Human–computer interaction; Open source; Multimedia; Flow (mathematics); Simulation","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":[0.001188146,0.0003863163,0.0002119609,0.0003650683,0.001039324,0.001767826,0.0006877004,0.0005728774,0.004282901],"category_scores_gemma":[0.00404757,0.0001763332,0.0004167898,0.0001748226,0.0009514432,0.001311581,0.002420321,0.0007209188,0.000571127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002359492,"about_ca_system_score_gemma":0.0007108109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007689885,"about_ca_topic_score_gemma":0.001495543,"domain_scores_codex":[0.9990345,0.0005853938,0.00002736829,0.00008817019,0.00009239707,0.0001721268],"domain_scores_gemma":[0.9982981,0.0006795333,0.0003098275,0.0001502184,0.0001011046,0.0004612373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002784376,0.01039499,0.04556273,0.001513366,0.0001479626,0.00176875,0.06363249,0.005020333,0.08380163,0.01193777,0.01660352,0.7568321],"study_design_scores_gemma":[0.002838563,0.03507537,0.3792042,0.002667616,0.001125518,0.006238743,0.1779624,0.0334437,0.07026754,0.04573898,0.2442368,0.001200608],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623162,0.0002581512,0.02481597,0.0007565881,0.00009321555,0.0001324275,0.00003944756,0.0003525947,0.01123539],"genre_scores_gemma":[0.9790181,0.0002231466,0.01817431,0.0002926983,0.0000505083,0.0001100163,0.00003600369,0.00003269756,0.00206245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004282901,"threshold_uncertainty_score":0.0143277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.139688226059967,"score_gpt":0.3383530078839189,"score_spread":0.1986647818239519,"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."}}