{"id":"W2159812963","doi":"10.1016/j.annals.2012.02.001","title":"Information technology in everyday and vacation contexts","year":2012,"lang":"en","type":"article","venue":"Annals of Tourism Research","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":158,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Destinations; The Internet; Spillover effect; Marketing; Tourism; Business; Advertising; Information technology; Public relations; Computer science; Geography; Economics; World Wide Web; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005228366,0.0000315681,0.00008074494,0.0003749783,0.0001326562,0.00003579706,0.0001201626,0.0001183253,0.00001630161],"category_scores_gemma":[0.004569463,0.00003186577,0.00001322532,0.0005392577,0.0003409463,0.0007901885,0.00005501431,0.0001834031,0.00002250786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001806313,"about_ca_system_score_gemma":0.00008822868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001412804,"about_ca_topic_score_gemma":0.0001161957,"domain_scores_codex":[0.9988027,0.0002646073,0.0001447906,0.00004132418,0.0003939491,0.0003526355],"domain_scores_gemma":[0.9991409,0.0003785061,0.00004240631,0.00006781978,0.0002858529,0.00008451318],"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":[0.00004655147,0.0001217012,0.1146084,0.00004423898,0.000008926155,9.501042e-7,0.04991591,1.446962e-7,0.00006844632,0.1928515,0.01669841,0.6256348],"study_design_scores_gemma":[0.0004143688,0.0001484953,0.3902764,0.0001609719,0.000002063295,5.785736e-7,0.0503866,0.000007564174,0.001333192,0.182854,0.3742183,0.0001975496],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8688754,0.0005872801,0.000002433827,0.01324059,0.00007372937,0.0001459925,0.000001580924,0.00001549285,0.1170574],"genre_scores_gemma":[0.9987212,0.0006482485,0.00004466592,0.00005399424,0.0000977817,0.00001367567,0.000001468395,0.000002063889,0.0004168502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6254373,"threshold_uncertainty_score":0.5470405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1139863731789771,"score_gpt":0.4604323081688503,"score_spread":0.3464459349898732,"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."}}