{"id":"W4293146950","doi":"10.20867/thm.28.1.6","title":"REFINING THE SERVICE ORIENTATION SCALE (SOS-22) FROM INSIDE THE CANADIAN LODGING SECTOR","year":2022,"lang":"en","type":"article","venue":"Tourism and hospitality management","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Hospitality industry; Marketing; Confirmatory factor analysis; Scale (ratio); Service (business); Hospitality; Service-orientation; Exploratory factor analysis; Context (archaeology); Business; Tertiary sector of the economy; Psychology; Knowledge management; Tourism; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00406801,0.000438361,0.0002498938,0.002032804,0.003242898,0.002269152,0.0008836317,0.0003502561,0.002935855],"category_scores_gemma":[0.008202014,0.0001690068,0.0005848837,0.002638977,0.001467944,0.0007667457,0.001833713,0.001205474,0.0003716999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01790052,"about_ca_system_score_gemma":0.0400324,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8828198,"about_ca_topic_score_gemma":0.9483617,"domain_scores_codex":[0.9971239,0.0002743371,0.0001047771,0.0001432422,0.001899892,0.000453944],"domain_scores_gemma":[0.9931555,0.0005480837,0.0004391275,0.0002978124,0.004425619,0.00113381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001620028,0.000246149,0.7272204,0.0004422692,0.00005728746,0.0004565445,0.03995937,0.0006162566,0.003527075,0.004644384,0.01257097,0.2100973],"study_design_scores_gemma":[0.00001296944,0.0001453152,0.9411112,0.0001836818,0.0000292591,0.00009915128,0.03186845,0.0008306963,0.0009501427,0.0004381866,0.02427454,0.00005637581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768727,0.0002382763,0.00180216,0.0008901276,0.000059411,0.0004291847,0.0008452414,0.00003618536,0.01882668],"genre_scores_gemma":[0.9859695,0.0004212642,0.007601907,0.0002407689,0.00001252009,0.0002672659,0.001387328,0.00001988292,0.004079483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1171802,"threshold_uncertainty_score":0.2357406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01674657210912364,"score_gpt":0.2178626966442929,"score_spread":0.2011161245351692,"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."}}