{"id":"W4248200463","doi":"10.32920/ryerson.14653524","title":"YouTube as a Destination Marketing Tool : a Canadian Content Analysis","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"","keywords":"Destination marketing; Upload; Business; Destinations; Content analysis; Advertising; Marketing; Sample (material); Order (exchange); Content marketing; Tourism; Coding (social sciences); Digital marketing; Computer science; Geography; World Wide Web; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002239642,0.0003641109,0.000285747,0.01168172,0.003333456,0.003143628,0.0006411066,0.0002756657,0.002107665],"category_scores_gemma":[0.008430833,0.000185894,0.0002411615,0.01448039,0.001015014,0.001019483,0.001419662,0.0004150781,0.0002577509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02120423,"about_ca_system_score_gemma":0.02115852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9259125,"about_ca_topic_score_gemma":0.9465861,"domain_scores_codex":[0.9987459,0.0002011355,0.00006624918,0.0001242809,0.000618782,0.0002437424],"domain_scores_gemma":[0.9931387,0.001301943,0.000511671,0.000120211,0.00452359,0.0004038085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002342394,0.0002299701,0.6268768,0.0009856325,0.00005290392,0.0007676248,0.1903469,0.0004344095,0.005826515,0.003791854,0.008732149,0.1617211],"study_design_scores_gemma":[0.00001168032,0.0001004486,0.7703793,0.0003205586,0.00006754085,0.0001565439,0.1887406,0.002412909,0.001965705,0.000223007,0.0355518,0.00006996837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822411,0.0002943949,0.0009625264,0.000372163,0.0000186276,0.0006859247,0.005335192,0.00003410069,0.01005598],"genre_scores_gemma":[0.979529,0.001140796,0.005227931,0.0001283709,0.00001743387,0.0006648037,0.006028257,0.00005067703,0.007212767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0740875,"threshold_uncertainty_score":0.1538482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05748519939682285,"score_gpt":0.3097569073995973,"score_spread":0.2522717080027744,"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."}}