{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005807598,0.00007252823,0.0001769666,0.0001427884,0.0003065901,0.0004154206,0.0003726599,0.00001397871,0.000118372],"category_scores_gemma":[0.00006854723,0.00005569592,0.00005795894,0.0001415439,0.0001150011,0.002007219,0.0002802312,0.0002324466,0.00001237332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005913592,"about_ca_system_score_gemma":0.0000300746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007902853,"about_ca_topic_score_gemma":0.00003839567,"domain_scores_codex":[0.999387,0.00001538216,0.0003765604,0.0000712184,0.00005540187,0.00009448353],"domain_scores_gemma":[0.9991303,0.0001296676,0.0004583047,0.000193839,0.00007850121,0.000009392877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000595735,0.0004148686,0.4618263,0.00005356518,0.0001854528,0.00000775336,0.004141198,0.001259867,0.000003956801,0.482448,0.001140448,0.04792281],"study_design_scores_gemma":[0.006836463,0.00004792452,0.1054777,0.00007171234,0.00004731042,0.0001026416,0.02236459,0.004855501,0.00001155404,0.06364676,0.7960717,0.0004661233],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532461,0.0006660519,0.00002172057,0.00130401,0.00009315495,0.0001578511,0.000005083365,0.000006742564,0.04449933],"genre_scores_gemma":[0.9990903,0.00007203881,0.00003346675,0.0006519653,0.00004892128,0.00003741425,0.000005756468,0.000005047313,0.00005513863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7949313,"threshold_uncertainty_score":0.400591,"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."}}