{"id":"W4281676521","doi":"10.18080/jtde.v10n2.504","title":"Measuring Overall Customer Experience in a Hospitality Collaborative Consumption Context","year":2022,"lang":"en","type":"article","venue":"Journal of Telecommunications and the Digital Economy","topic":"Sharing Economy and Platforms","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Hospitality; Context (archaeology); Hospitality industry; Marketing; Business; Popularity; Accommodation; Customer experience; Consumption (sociology); Customer satisfaction; Scale (ratio); Knowledge management; Tourism; Computer science; Psychology; Sociology","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":[0.001480481,0.0001710989,0.0002240098,0.0009253866,0.0008045504,0.002111775,0.0003294921,0.0003847123,0.003477123],"category_scores_gemma":[0.002979027,0.00009413,0.0001871059,0.001014815,0.0004869973,0.00112688,0.001884429,0.0004603783,0.000351481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006804937,"about_ca_system_score_gemma":0.0004969659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002957011,"about_ca_topic_score_gemma":0.004556354,"domain_scores_codex":[0.9987098,0.0005916303,0.00007019057,0.00008599871,0.0003182203,0.0002240878],"domain_scores_gemma":[0.9971976,0.0009197321,0.0005932124,0.0001549051,0.0006640899,0.0004705419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000987681,0.0009354182,0.7610785,0.0003473331,0.0001275121,0.001099811,0.09487993,0.001778857,0.01510143,0.002960494,0.002301371,0.1184016],"study_design_scores_gemma":[0.00001987788,0.001529132,0.776729,0.00010555,0.00006721431,0.0007100293,0.2058362,0.003797265,0.003625042,0.000783146,0.006687924,0.0001095672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967579,0.00001886172,0.0003071205,0.00003174723,0.000001687246,0.00002144641,0.00003878076,0.000004335275,0.002818143],"genre_scores_gemma":[0.9987998,0.00003112744,0.0005692965,0.0000207432,0.000002391186,0.00002256085,0.00006142855,0.000001794092,0.0004909058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003477123,"threshold_uncertainty_score":0.01163214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04041652569083704,"score_gpt":0.2384710421147339,"score_spread":0.1980545164238969,"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."}}