{"id":"W3199255102","doi":"10.5430/jbar.v10n2p13","title":"Service Robots Usage in Marketing Hospitality in China","year":2021,"lang":"en","type":"article","venue":"Journal of Business Administration Research","topic":"AI in Service Interactions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cape Breton University","funders":"","keywords":"Hospitality; Social distance; Marketing; Service (business); Distancing; Business; Coronavirus disease 2019 (COVID-19); Robot; Public relations; Field (mathematics); Interpersonal communication; China; Computer science; Psychology; Political science; Artificial intelligence; Tourism; Social psychology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004989945,0.00009364678,0.000208997,0.0005052057,0.00009302799,0.0004264577,0.0007810741,0.00008014344,0.0001025785],"category_scores_gemma":[0.001627157,0.00009338438,0.00004188761,0.004139113,0.00002826499,0.001649,0.0002598999,0.0008179923,0.00001060814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000231804,"about_ca_system_score_gemma":0.001577147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002016842,"about_ca_topic_score_gemma":0.002769436,"domain_scores_codex":[0.9969629,0.0008131287,0.0007343725,0.0002458162,0.0009279433,0.0003158551],"domain_scores_gemma":[0.9963289,0.0006022532,0.0002437905,0.0003804217,0.00234571,0.00009893597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001924439,0.01193716,0.6088556,0.002428732,0.0001882063,0.03632455,0.01483823,0.05299725,0.06659365,0.02389702,0.006354739,0.1736604],"study_design_scores_gemma":[0.0004475401,0.00005999786,0.9811401,0.0003977148,0.000001477185,0.0004312411,0.0009307395,0.01294784,0.001323927,0.001842425,0.0003674307,0.000109559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9437238,0.0001220326,0.01299993,0.04009762,0.0004112385,0.0001040261,0.000001022939,0.000009366513,0.002530973],"genre_scores_gemma":[0.9900261,0.00006517901,0.009529709,0.0001425516,0.0001162835,0.000005630454,0.000001958242,0.000006806306,0.0001057705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3722845,"threshold_uncertainty_score":0.4112341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0703509966952431,"score_gpt":0.3941468247303867,"score_spread":0.3237958280351436,"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."}}