{"id":"W4246566589","doi":"10.32920/ryerson.14665929","title":"A traveller's digital identity: an analysis of current mobile travel apps and tourist behaviours for better digital discovery in urban environments","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Personalization; Tourism; Mobile apps; Computer science; Mobile device; World Wide Web; Internet privacy; Multimedia; 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":[0.000732181,0.0001345358,0.0001607267,0.001903469,0.0007440765,0.002038716,0.0002204657,0.0003501539,0.001643362],"category_scores_gemma":[0.004049177,0.0001031025,0.0002003593,0.001306428,0.0004417171,0.00154285,0.001167034,0.000347017,0.00037926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003214696,"about_ca_system_score_gemma":0.0004698504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004753323,"about_ca_topic_score_gemma":0.008740152,"domain_scores_codex":[0.9995508,0.0001549171,0.00004262622,0.00005808882,0.0001247499,0.0000688307],"domain_scores_gemma":[0.9976533,0.0008709925,0.0006172046,0.0001498409,0.0004951212,0.0002135795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003011284,0.0001904152,0.7788375,0.0003137278,0.00004549452,0.0006531591,0.1222974,0.0001387631,0.002779178,0.001084111,0.0008013697,0.09255772],"study_design_scores_gemma":[0.000005174624,0.0002613227,0.8033199,0.0001177924,0.00005666963,0.001267632,0.1852635,0.00107956,0.0009939518,0.0003076689,0.007293118,0.00003373921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976333,0.00009094579,0.0003446278,0.00007787326,0.00000201759,0.00001990443,0.00008737051,0.000007078188,0.001736892],"genre_scores_gemma":[0.9977791,0.0001818523,0.0007499538,0.00002739178,0.000003321637,0.00002433083,0.0001342845,0.000005453106,0.001094284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004753323,"threshold_uncertainty_score":0.00945133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0214855509053175,"score_gpt":0.3107394703850707,"score_spread":0.2892539194797532,"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."}}