{"id":"W3088869368","doi":"","title":"Planners’ Perception of Using Virtual Reality Technology in Tourism Planning","year":2020,"lang":"en","type":"article","venue":"Ereview of tourism research","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Tourism; Virtual reality; Perception; Psychology; Dimension (graph theory); Marketing; Immersion (mathematics); Business; Knowledge management; Computer science; Human–computer interaction; Geography","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":[0.001044588,0.0001748652,0.000153664,0.0005751196,0.0006088585,0.001324821,0.0001746679,0.0004814225,0.003156704],"category_scores_gemma":[0.004340173,0.0002003876,0.0002656841,0.0004969969,0.0007039352,0.000646919,0.0007197881,0.0006359087,0.0002428174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005397988,"about_ca_system_score_gemma":0.0008260121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008595224,"about_ca_topic_score_gemma":0.01004735,"domain_scores_codex":[0.9992127,0.0003800866,0.00005220365,0.00004748752,0.0001804508,0.000126992],"domain_scores_gemma":[0.9979316,0.0005863205,0.0005620985,0.0000587564,0.000272836,0.0005884301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003531362,0.0007007171,0.6636235,0.0005196455,0.00008705313,0.002658519,0.2565056,0.002482735,0.007450862,0.001813834,0.005216654,0.05858778],"study_design_scores_gemma":[0.00005380237,0.001007189,0.5221468,0.0002290425,0.00008887421,0.00199882,0.442886,0.003776705,0.0009025217,0.0005712836,0.02617276,0.0001661212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964857,0.00009106687,0.0004359515,0.0003056201,0.000005983116,0.00002013777,0.00003301398,0.00001237155,0.002610162],"genre_scores_gemma":[0.9991474,0.0001017486,0.0002121809,0.00003995405,0.00000173998,0.000006663564,0.00002092773,0.000001788367,0.000467467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008595224,"threshold_uncertainty_score":0.01709038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.226091293392839,"score_gpt":0.4429068822047147,"score_spread":0.2168155888118757,"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."}}