{"id":"W4246937542","doi":"10.32920/ryerson.14655324","title":"Influencing sustainable travel using Instagram","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":"Tourism; Exploit; Overcrowding; Sustainable tourism; Destinations; Scarcity; Tourist destinations; Narrative; Sustainable development; Social media; Business; Advertising; Sociology; Marketing; Geography; Political science; Computer science; Economics","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":[0.0006713409,0.000292929,0.0001151752,0.0005478789,0.001303667,0.003724685,0.0003294776,0.0004839821,0.01267505],"category_scores_gemma":[0.004028623,0.0001062034,0.0002594913,0.0005325089,0.0008710676,0.001852634,0.002128982,0.0006596231,0.001716156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007483246,"about_ca_system_score_gemma":0.0005629666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003809677,"about_ca_topic_score_gemma":0.009232524,"domain_scores_codex":[0.9993833,0.0003306507,0.00001408807,0.00004697439,0.0000993934,0.0001256289],"domain_scores_gemma":[0.9982365,0.001045597,0.0002019453,0.0001260992,0.0001784783,0.0002113303],"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":[0.0008917251,0.001299621,0.2752517,0.0014415,0.0002872739,0.002508041,0.2067039,0.00360822,0.02714992,0.05015402,0.05756188,0.3731423],"study_design_scores_gemma":[0.00007472403,0.000685277,0.1807495,0.0004016006,0.000283018,0.001054114,0.3599199,0.009538619,0.01238283,0.02050418,0.4142054,0.0002008129],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8245534,0.0002101626,0.005057467,0.001823786,0.0001105004,0.0001107602,0.0003473052,0.0002829615,0.1675037],"genre_scores_gemma":[0.9865862,0.0001665716,0.002577227,0.0002403893,0.00002228361,0.0000670857,0.00009300595,0.00007271778,0.01017453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01267505,"threshold_uncertainty_score":0.04240227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03660740630434497,"score_gpt":0.3292739012909504,"score_spread":0.2926664949866055,"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."}}