{"id":"W4245942504","doi":"10.32920/ryerson.14656587","title":"Disney2Go : Solution to Overcrowded Theme parks : Tech Based Crowd Mitigation Tool","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Global Positioning System; General partnership; Theme park; MAGIC (telescope); Entertainment; Computer science; Theme (computing); Business; Geography; World Wide Web; Visual arts; Tourism; Telecommunications","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":[0.0002605747,0.0006834515,0.0002752836,0.0004183721,0.0004136425,0.0007221888,0.0006707901,0.0006222575,0.007322341],"category_scores_gemma":[0.001311901,0.0001717033,0.0003083157,0.0001736718,0.000231414,0.0009547358,0.001594259,0.0003534349,0.001368123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001325567,"about_ca_system_score_gemma":0.0002991243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007343724,"about_ca_topic_score_gemma":0.001805706,"domain_scores_codex":[0.9997632,0.00006894265,0.000009675625,0.00003614578,0.0000769374,0.00004506483],"domain_scores_gemma":[0.9995596,0.0001569004,0.00004337532,0.00006584342,0.00008901379,0.00008530659],"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":[0.001968826,0.00192631,0.02878798,0.002708447,0.0001642451,0.003122923,0.01019805,0.009488954,0.1928083,0.005674692,0.04028035,0.7028708],"study_design_scores_gemma":[0.0003945942,0.01195902,0.1085193,0.001406786,0.0007706604,0.01059892,0.02822112,0.142899,0.2172499,0.008040266,0.4693399,0.0006005304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7992981,0.001058147,0.1448421,0.001129063,0.0005271404,0.001035384,0.0007540186,0.01046835,0.04088771],"genre_scores_gemma":[0.8659366,0.0005358597,0.1022999,0.000421278,0.00005811814,0.0005205453,0.000466592,0.0003903532,0.02937078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007322341,"threshold_uncertainty_score":0.02449566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025576971380102,"score_gpt":0.232486228965524,"score_spread":0.222230459251723,"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."}}