{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003397056,0.0009474286,0.000422221,0.00202608,0.001326751,0.005176287,0.0009793857,0.001411978,0.002299592],"category_scores_gemma":[0.006268308,0.0003103133,0.0005001582,0.001184772,0.003740225,0.003714294,0.002790008,0.001327164,0.0004836439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001221314,"about_ca_system_score_gemma":0.0009762485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001750745,"about_ca_topic_score_gemma":0.00273232,"domain_scores_codex":[0.9976496,0.001713759,0.00007242808,0.0001319474,0.00028134,0.0001509332],"domain_scores_gemma":[0.9977074,0.001696277,0.0001437309,0.0001469089,0.0001583778,0.0001473563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003708661,0.0008184153,0.01588422,0.002098275,0.0001089149,0.001316397,0.06095187,0.01696695,0.003912698,0.4744636,0.00756927,0.4155384],"study_design_scores_gemma":[0.000163702,0.001043167,0.01908361,0.004520684,0.0002114124,0.003831994,0.0523744,0.09794474,0.007035392,0.483453,0.330004,0.000334039],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5690885,0.0190227,0.1772471,0.007562482,0.0003244948,0.001238772,0.0001223177,0.0007461506,0.2246476],"genre_scores_gemma":[0.9298561,0.004915109,0.0546965,0.0004385458,0.00005378227,0.000333697,0.0000476236,0.00005632986,0.009602295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005176287,"threshold_uncertainty_score":0.01796561,"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."}}