{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007466258,0.0001647299,0.0002454675,0.001666613,0.002854115,0.01212803,0.0003977191,0.001257208,0.008471278],"category_scores_gemma":[0.002055357,0.0001816196,0.0001458878,0.003254117,0.004322364,0.007023944,0.002373907,0.0009378635,0.0005034519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587248,"about_ca_system_score_gemma":0.001056325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009041027,"about_ca_topic_score_gemma":0.02756512,"domain_scores_codex":[0.9990885,0.0004924439,0.00003487578,0.00007053425,0.0001075647,0.0002060866],"domain_scores_gemma":[0.9984248,0.0006917382,0.0001943947,0.00007915079,0.000151368,0.0004585964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002749965,0.0005069599,0.1856511,0.0005972812,0.00008107329,0.001587609,0.4815336,0.0004048519,0.001617736,0.1840223,0.01438695,0.1293355],"study_design_scores_gemma":[0.00001006518,0.00009992473,0.1565248,0.0002977639,0.00002674582,0.0004118153,0.7370266,0.0003791841,0.0001680384,0.01525566,0.08976487,0.0000345112],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8592494,0.009974936,0.000528213,0.006091793,0.0001957515,0.00001361302,0.0001752753,0.00001812778,0.1237529],"genre_scores_gemma":[0.9964663,0.00138391,0.00007502835,0.000170434,0.00005092247,0.000005728456,0.00002721813,0.000005536137,0.001814814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01212803,"threshold_uncertainty_score":0.02833927,"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."}}