{"id":"W3085436467","doi":"10.1109/tvcg.2020.3023336","title":"Touch and Beyond: Comparing Physical and Virtual Reality Visualizations","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Virtual reality; Annotation; Visualization; Data visualization; Augmented reality; Immersion (mathematics); Simple (philosophy); Virtual world","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001148697,0.0002521123,0.0003007136,0.0002188558,0.0004602502,0.0004868229,0.000226709,0.00008810363,0.00000450893],"category_scores_gemma":[0.000007249952,0.0002604014,0.00005412283,0.0009056838,0.0001705977,0.0006355432,0.00002834741,0.0001781919,0.000004176091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001072373,"about_ca_system_score_gemma":0.00002887849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001044391,"about_ca_topic_score_gemma":0.00001294553,"domain_scores_codex":[0.998395,0.0001446152,0.0003252832,0.0006139617,0.0003103364,0.0002108363],"domain_scores_gemma":[0.9990851,0.0001118267,0.00009997994,0.0002421957,0.0001210849,0.0003398603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001172657,0.0002047441,0.0002516294,0.00004666121,0.00004672847,0.000002652411,0.00355992,0.0007100013,0.00004349816,0.988185,0.0003147811,0.006622646],"study_design_scores_gemma":[0.0006194731,0.0003129443,0.0005046535,0.00001903633,0.00003699374,0.00001200095,0.00009953578,0.9959511,0.0004658171,0.0007246452,0.0009645783,0.0002892204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01793827,0.0000240785,0.9808317,0.0004822473,0.0001591773,0.0001687458,0.00002332363,0.0003091031,0.00006339035],"genre_scores_gemma":[0.9940504,0.0003284024,0.0006741449,0.004794969,0.00007978379,0.000008258425,0.00002769306,0.00002039824,0.00001598261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9952411,"threshold_uncertainty_score":0.9999848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03806530169637595,"score_gpt":0.3049455958009326,"score_spread":0.2668802941045566,"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."}}