{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002033892,0.0003149291,0.0002256268,0.0008183499,0.001658799,0.00438872,0.0006877718,0.0006533362,0.01864249],"category_scores_gemma":[0.008291026,0.0002176801,0.0006093709,0.0007552441,0.001327352,0.002547745,0.004492128,0.0006119093,0.001121624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007388674,"about_ca_system_score_gemma":0.000859337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00289563,"about_ca_topic_score_gemma":0.004017402,"domain_scores_codex":[0.9958994,0.002408818,0.00008174,0.0002342924,0.0009238013,0.0004519016],"domain_scores_gemma":[0.9931167,0.004527214,0.0005226962,0.0004831903,0.0008282347,0.0005219259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003595148,0.001313835,0.11035,0.003312484,0.0003943018,0.009102329,0.2219991,0.005622972,0.02440673,0.05196874,0.01776076,0.5501736],"study_design_scores_gemma":[0.0001115328,0.005027879,0.2424408,0.001504978,0.0003947993,0.006472915,0.4238282,0.003808191,0.01121592,0.007412363,0.2975172,0.0002651269],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8883489,0.000935406,0.001644763,0.0006967083,0.0001395755,0.00006055805,0.0001557733,0.00009155722,0.1079268],"genre_scores_gemma":[0.9902587,0.0003906191,0.001006574,0.00008918877,0.00002761243,0.00002565004,0.00005825023,0.00003087777,0.008112599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01864249,"threshold_uncertainty_score":0.06236535,"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."}}