{"id":"W3004896907","doi":"10.4018/ijcrmm.2020040101","title":"An Evaluation of Toronto's Destination Image Through Tourist Generated Content on Twitter","year":2020,"lang":"en","type":"article","venue":"International Journal of Customer Relationship Marketing and Management","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Destination image; Tourism; Perception; User-generated content; Social media; Advertising; Interpretation (philosophy); Content analysis; Meaning (existential); Cognition; Component (thermodynamics); Psychology; Netnography; Sociology; Marketing; Business; Destinations; Computer science; Geography; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006078187,0.0002128192,0.0001310925,0.001000341,0.0008929542,0.001438177,0.0001817459,0.0001901667,0.002805059],"category_scores_gemma":[0.002620185,0.00007027726,0.0001563511,0.0009859486,0.0005614298,0.0006248846,0.0007779232,0.0002256966,0.0003016729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001927333,"about_ca_system_score_gemma":0.0007415964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04396846,"about_ca_topic_score_gemma":0.1157491,"domain_scores_codex":[0.9995844,0.0001526098,0.00001929609,0.000024713,0.0001653737,0.00005360112],"domain_scores_gemma":[0.9980364,0.0007423116,0.0003600327,0.00007258535,0.0005392421,0.0002495146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001931815,0.0003447604,0.541882,0.001098293,0.0001284948,0.002383674,0.2868653,0.001022175,0.05091335,0.001412993,0.00677282,0.1052442],"study_design_scores_gemma":[0.00001245247,0.0005658154,0.7946718,0.0001016561,0.00007555999,0.0002418127,0.1892365,0.001769144,0.004917734,0.0001120727,0.008245747,0.00004966577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951133,0.00003107111,0.0001087378,0.00006323725,0.000004773136,0.00002552427,0.0001975035,0.00001246343,0.00444336],"genre_scores_gemma":[0.9978496,0.00007298438,0.0002942328,0.00001391178,0.000006415791,0.00002508233,0.000230353,0.000007493019,0.001500044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9560316,"threshold_uncertainty_score":0.08742511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1157170304917452,"score_gpt":0.3762148975332468,"score_spread":0.2604978670415016,"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."}}