{"id":"W3196732721","doi":"10.32920/ryerson.14656683.v1","title":"Impact of virtual and augmented reality on theme parks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Media, Gender, and Advertising","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Dalhousie University","funders":"","keywords":"Theme (computing); Theme park; Virtual reality; Augmented reality; Computer science; Human–computer interaction; World Wide Web; Political science; Tourism","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":[0.0006236045,0.0001283615,0.0002715517,0.00004111383,0.0001217939,0.00006652897,0.0001485785,0.0002038242,0.0007320513],"category_scores_gemma":[0.0002905663,0.0001012275,0.0001431523,0.00007464777,0.0001840045,0.00004216268,0.0001943233,0.0002386018,0.000001603623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001180485,"about_ca_system_score_gemma":0.0005544196,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01973123,"about_ca_topic_score_gemma":0.001906061,"domain_scores_codex":[0.9986355,0.000271959,0.0002105265,0.0003043688,0.0003716493,0.00020599],"domain_scores_gemma":[0.9992584,0.000147468,0.0001230387,0.0002479744,0.00007514458,0.0001479636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003992727,0.001716614,0.1329225,0.0005862302,0.001960779,0.00009200446,0.482965,0.001277876,0.005107337,0.05352486,0.02165642,0.2977911],"study_design_scores_gemma":[0.002636946,0.001009447,0.7408236,0.002126624,0.0003424408,0.000004347208,0.2168191,0.001689857,0.004471525,0.0236579,0.00397008,0.002448149],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8897144,0.0001251937,0.0004820759,0.0002911474,0.0003601908,0.0001715693,0.00002006768,0.00003292998,0.1088024],"genre_scores_gemma":[0.9973521,0.0006000001,0.00009472206,0.00007141108,0.0001756689,0.000003180548,0.00002847537,0.000006390379,0.001668058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6079011,"threshold_uncertainty_score":0.9867964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07528864866829481,"score_gpt":0.3962699014723687,"score_spread":0.3209812528040739,"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."}}