{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002004156,0.0001101869,0.0004049865,0.0004070376,0.0000756478,0.00002906641,0.001107578,0.0001340214,0.00001776793],"category_scores_gemma":[0.0006958321,0.0001010337,0.00006781404,0.002051535,0.000191038,0.0002727395,0.0005457668,0.0005148599,0.00001634791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007703817,"about_ca_system_score_gemma":0.0001926878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000362135,"about_ca_topic_score_gemma":0.000004140944,"domain_scores_codex":[0.9977405,0.0003611042,0.0005675079,0.0003699632,0.0005922232,0.0003687109],"domain_scores_gemma":[0.9986929,0.000175576,0.0001694357,0.0006019534,0.0002208778,0.0001392573],"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":[0.0001287598,0.0007758061,0.005113157,0.001819628,0.0000757844,0.0001233315,0.01352915,0.003752687,0.1148734,0.109433,0.0320585,0.7183169],"study_design_scores_gemma":[0.005425356,0.006937867,0.1158145,0.008498824,0.00007792458,0.0001436277,0.01538716,0.6400396,0.03520112,0.08245421,0.0875919,0.002427936],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7625173,0.003697108,0.2027032,0.02581937,0.00007136021,0.001185184,0.00002172908,0.00009932422,0.003885362],"genre_scores_gemma":[0.9919599,0.0005150878,0.007335758,0.00008372655,0.00006113396,0.00001510302,0.000003456117,0.000007920818,0.00001792888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7158889,"threshold_uncertainty_score":0.4120035,"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."}}