{"id":"W2154096796","doi":"10.1080/15332969.2011.606761","title":"Blending Information Technology in Indian Travel and Tourism Sector","year":2011,"lang":"en","type":"article","venue":"Services Marketing Quarterly","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Tourism; Business; Marketing; Personalization; Service (business); Advertising; Geography","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":[0.0005612931,0.0001217782,0.00009963952,0.001429858,0.0009656796,0.005500917,0.0002944354,0.0003940514,0.003911222],"category_scores_gemma":[0.001496667,0.0001184638,0.0002451097,0.003400443,0.001316051,0.002354165,0.001596348,0.000666452,0.000553802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001758598,"about_ca_system_score_gemma":0.002281475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01419774,"about_ca_topic_score_gemma":0.01609883,"domain_scores_codex":[0.9991399,0.0003132015,0.00004890234,0.00004637144,0.0002252429,0.0002262617],"domain_scores_gemma":[0.9988649,0.0003826404,0.0001843568,0.0000734306,0.0002105618,0.0002842615],"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":[0.000441784,0.001048519,0.2461807,0.0009139698,0.0001136328,0.003938807,0.05041807,0.001857091,0.01505342,0.1125394,0.008702394,0.5587922],"study_design_scores_gemma":[0.00004065592,0.0007152073,0.6036482,0.0006690508,0.0002733656,0.005055814,0.137199,0.006978557,0.005294952,0.01927221,0.2207238,0.0001292087],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7986833,0.003823704,0.001849293,0.004207799,0.0001119097,0.0000413216,0.00006349411,0.00007580568,0.1911435],"genre_scores_gemma":[0.9941406,0.001525995,0.0004883317,0.0002156669,0.00002520667,0.000005738001,0.0000159918,0.000008059117,0.003574326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01419774,"threshold_uncertainty_score":0.02823019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008769349374365808,"score_gpt":0.2242128139220911,"score_spread":0.2154434645477253,"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."}}