{"id":"W3210800080","doi":"10.32920/ryerson.14647614.v1","title":"Assessing the engagement of social media marketing: the case study of a tourism Toronto video-based marketing campaign","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Social media; Customer engagement; Destination marketing; Advertising; Tourism; Perspective (graphical); Marketing; Business; Social media marketing; Sample (material); Social marketing; Digital marketing; Public relations; Political science; Destinations; Computer science","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":[0.002382113,0.0004733372,0.0002830545,0.001536568,0.004598403,0.003014416,0.0007510394,0.001358657,0.003747015],"category_scores_gemma":[0.005012357,0.0002351183,0.0002850841,0.001536605,0.002303523,0.001675761,0.00194369,0.0009093115,0.0004855019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005068001,"about_ca_system_score_gemma":0.002417459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05023594,"about_ca_topic_score_gemma":0.1546361,"domain_scores_codex":[0.9971709,0.0015802,0.00005945435,0.0001893528,0.000514034,0.0004862026],"domain_scores_gemma":[0.9933924,0.004184961,0.0007374085,0.0002317658,0.0006751054,0.0007782798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0005003885,0.002031642,0.1950574,0.001236289,0.0000976542,0.01629519,0.6913952,0.001378762,0.01071301,0.006902574,0.006510684,0.0678812],"study_design_scores_gemma":[0.00003530426,0.0008151496,0.1569485,0.0003781864,0.00005788161,0.001410725,0.7945688,0.002179727,0.003625291,0.000573995,0.0393396,0.00006680776],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853793,0.0001501132,0.0004589141,0.0004914267,0.00001503343,0.0001567196,0.0001056589,0.00000857941,0.01323424],"genre_scores_gemma":[0.9930341,0.000257664,0.001246207,0.000139077,0.00002168128,0.0001327708,0.0001044688,0.00001385334,0.005050178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9497641,"threshold_uncertainty_score":0.09988701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05941371653429239,"score_gpt":0.3616324085478259,"score_spread":0.3022186920135335,"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."}}