{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002758099,0.0005988833,0.0004990917,0.001477304,0.0004620454,0.004239584,0.0007443744,0.0008974971,0.005920649],"category_scores_gemma":[0.03234078,0.0004057345,0.0006043545,0.0008782094,0.001156447,0.003698849,0.00284836,0.0007560502,0.0004381358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003311217,"about_ca_system_score_gemma":0.0002791242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009095693,"about_ca_topic_score_gemma":0.0007503215,"domain_scores_codex":[0.9976195,0.001372972,0.0001257309,0.0002924932,0.0004260007,0.0001633128],"domain_scores_gemma":[0.9819371,0.01505082,0.0009299452,0.001088061,0.000676385,0.0003177297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006500898,0.0007781955,0.04561035,0.00494529,0.0006229068,0.001687509,0.1320451,0.01545368,0.2347457,0.02459927,0.006322737,0.5266884],"study_design_scores_gemma":[0.001123602,0.01032747,0.4801452,0.003196249,0.001479317,0.006252209,0.1186781,0.09777858,0.08961559,0.07241213,0.1176752,0.00131637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8873279,0.002267868,0.08894733,0.0008747781,0.0001920454,0.0002250928,0.0004688711,0.001089508,0.01860652],"genre_scores_gemma":[0.9689549,0.0005974891,0.02851435,0.000162555,0.00004394235,0.0001323441,0.0002055866,0.0002115439,0.001177434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005920649,"threshold_uncertainty_score":0.01980656,"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."}}