{"id":"W2808545974","doi":"","title":"Gamification in Tourism Advertising: Game Mechanics and Practices","year":2018,"lang":"en","type":"article","venue":"Ereview of tourism research","topic":"Educational Games and Gamification","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Pleasure; Tourism; Game mechanics; Advertising; Competition (biology); Mechanism (biology); Psychology; Marketing; Computer science; Business; Political science; Multimedia; Epistemology","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":[0.003559543,0.0001021217,0.0002218487,0.0002993317,0.00006796761,0.00003206794,0.0002873921,0.0001208758,0.0008439188],"category_scores_gemma":[0.001098213,0.00009389107,0.00003733346,0.0006007185,0.0001392981,0.000161708,0.00007487842,0.0003613252,0.0002989871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000517718,"about_ca_system_score_gemma":0.00009500903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004748582,"about_ca_topic_score_gemma":0.00007060971,"domain_scores_codex":[0.9976912,0.0007138875,0.0004538214,0.0003976733,0.0004241424,0.0003192768],"domain_scores_gemma":[0.9980232,0.000508366,0.0003555798,0.0005458403,0.0004780905,0.0000888968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002448587,0.001497623,0.009027516,0.000820754,0.0001046176,0.00001973204,0.01588384,0.000001033995,0.004539078,0.285695,0.1363509,0.545815],"study_design_scores_gemma":[0.0006500005,0.0005154168,0.3292654,0.0005524653,0.00002830866,0.0000298081,0.003246793,0.0003301601,0.0004886871,0.02660132,0.6380313,0.0002602988],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8144377,0.0795512,0.001563634,0.02767668,0.001158338,0.002228506,0.00001365802,0.00005464182,0.07331558],"genre_scores_gemma":[0.9884446,0.005532773,0.001251378,0.0001139973,0.0004981859,0.0001168446,0.00001264151,0.00001957342,0.004010002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5455547,"threshold_uncertainty_score":0.9240319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1454017162318576,"score_gpt":0.4952482723922234,"score_spread":0.3498465561603658,"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."}}