{"id":"W4402351300","doi":"10.1109/tvcg.2024.3456177","title":"Exploring the Effect of Viewing Attributes of Mobile AR Interfaces on Remote Collaborative and Competitive Tasks","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Human–computer interaction; Mobile device; Visualization; Data visualization; Mobile computing; User interface; Multimedia; Computer graphics (images); World Wide Web; Artificial intelligence; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001865614,0.0009698361,0.0005395825,0.0005865884,0.0003905784,0.00172443,0.0005516444,0.0006195826,0.003710141],"category_scores_gemma":[0.02698628,0.0003581207,0.0006281554,0.0004648248,0.0003222279,0.001440784,0.0008419445,0.0005165822,0.0004542888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001927135,"about_ca_system_score_gemma":0.0002651479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009044959,"about_ca_topic_score_gemma":0.001415028,"domain_scores_codex":[0.9980606,0.001062685,0.0001967044,0.0002090649,0.0003262172,0.0001446462],"domain_scores_gemma":[0.95973,0.03487609,0.001891312,0.001232354,0.00157953,0.0006907432],"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":[0.01788901,0.004301327,0.1184588,0.005168616,0.0005614783,0.001000791,0.01714193,0.008283351,0.492502,0.001104497,0.0009421506,0.3326461],"study_design_scores_gemma":[0.001010164,0.04136046,0.7950968,0.0005784487,0.001750532,0.002387775,0.01750198,0.03435485,0.09827571,0.001145912,0.006040919,0.0004965796],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992254,0.0002163938,0.005102241,0.00004050952,0.00001321092,0.000111789,0.00005726907,0.0001053644,0.00209927],"genre_scores_gemma":[0.9843502,0.0002817518,0.01430762,0.00003359901,0.00001838067,0.0001407598,0.00009628286,0.00004892336,0.0007223208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003710141,"threshold_uncertainty_score":0.01241171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0407024623418411,"score_gpt":0.3041582852435882,"score_spread":0.2634558229017471,"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."}}