{"id":"W3173754372","doi":"","title":"IMPACT OF THE COVID-19 PANDEMIC ON ENGAGEMENT OF THE TOURIST INFORMATION CENTRE'S FACEBOOK PAGE","year":2020,"lang":"en","type":"article","venue":"","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Social media; Coronavirus disease 2019 (COVID-19); Tourism; Quarter (Canadian coin); Cyberpsychology; Advertising; Internet privacy; Population; Psychology; Sociology; World Wide Web; Business; Political science; Geography; Computer science; Medicine; Demography","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":[0.0008060625,0.0001935858,0.0001827198,0.00086963,0.0007625463,0.002207247,0.0002952796,0.0005004396,0.00750077],"category_scores_gemma":[0.006673662,0.0001227504,0.0003452341,0.001211807,0.0007182197,0.001396138,0.001861084,0.001140616,0.001118519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549129,"about_ca_system_score_gemma":0.0009614808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04768687,"about_ca_topic_score_gemma":0.08628009,"domain_scores_codex":[0.9988856,0.0004158394,0.00005703844,0.00009709193,0.000248307,0.0002961844],"domain_scores_gemma":[0.9926069,0.003175542,0.002049841,0.0003068804,0.0009772901,0.0008836703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001380247,0.0001512371,0.9758291,0.00009957085,0.00005265919,0.0002744315,0.008312355,0.00036503,0.0003003126,0.000645706,0.002990833,0.0108409],"study_design_scores_gemma":[0.000001923619,0.00006125274,0.9798185,0.00005243804,0.00001586103,0.00005407433,0.01626471,0.0005462228,0.0001270635,0.00007397827,0.00297358,0.00001039037],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817134,0.0001029981,0.00007140766,0.000670473,0.00001665606,0.00004232713,0.002222008,0.00000963882,0.0151512],"genre_scores_gemma":[0.9965892,0.0001157551,0.00009677491,0.00009027376,0.00001405519,0.00004807241,0.001001965,0.000005297972,0.002038753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04768687,"threshold_uncertainty_score":0.09481859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06233747304768751,"score_gpt":0.3334776626810089,"score_spread":0.2711401896333214,"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."}}