{"id":"W211446099","doi":"10.54055/ejtr.v5i1.88","title":"Assessing destination images of an Olympic host city using social media","year":2012,"lang":"en","type":"article","venue":"European Journal of Tourism Research","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; George Brown College","funders":"","keywords":"Destination image; Tourism; Advertising; Destinations; Social media; Event (particle physics); Destination marketing; Position (finance); Marketing; Geography; Sociology; Business; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02103068,0.0000765681,0.0001823253,0.0003643943,0.0006572685,0.000195205,0.0004052687,0.00003905915,0.000162921],"category_scores_gemma":[0.002677304,0.00006827348,0.00008649494,0.0004594018,0.0003771994,0.001882656,0.00007343831,0.0004658207,0.000007532635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001561485,"about_ca_system_score_gemma":0.0004357492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001333288,"about_ca_topic_score_gemma":0.00001477282,"domain_scores_codex":[0.9948554,0.00265868,0.0003887171,0.00008265844,0.001471844,0.0005427225],"domain_scores_gemma":[0.9979947,0.0003336456,0.0003994921,0.00009101196,0.0007923675,0.0003888153],"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":[0.0004194047,0.002477105,0.09588178,0.0001296117,0.0001916946,0.001896,0.24935,0.00003251695,0.2456024,0.003673807,0.01623859,0.3841071],"study_design_scores_gemma":[0.0009288694,0.0002001918,0.9596659,0.0002221257,0.00004764579,0.00005999212,0.01453048,0.00001912737,0.009963603,0.0003344275,0.01380264,0.0002250227],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820825,0.0002836429,0.0002498184,0.0003744908,0.0004472157,0.00006078715,0.000001356688,0.000008763636,0.01649143],"genre_scores_gemma":[0.9937284,0.00003640852,0.002193482,0.00001058481,0.003874147,1.037002e-7,9.868485e-7,0.00001886381,0.0001370035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8637841,"threshold_uncertainty_score":0.7288855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3420074431607182,"score_gpt":0.491379639465043,"score_spread":0.1493721963043247,"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."}}