{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002436299,0.0003342461,0.0002945291,0.001989487,0.00220994,0.001705015,0.0005947168,0.0006608889,0.003090393],"category_scores_gemma":[0.005289476,0.0002006346,0.0003269796,0.002067043,0.001709551,0.001703782,0.001231248,0.0005181701,0.0003223105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004161115,"about_ca_system_score_gemma":0.003035521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03208362,"about_ca_topic_score_gemma":0.03884644,"domain_scores_codex":[0.9974936,0.0009051731,0.0001679466,0.00021378,0.000848489,0.0003709985],"domain_scores_gemma":[0.9943587,0.001517746,0.002180002,0.0001923008,0.0008146825,0.0009365597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001784049,0.0004188819,0.835128,0.0003322281,0.00005798315,0.000964602,0.1164241,0.0003167881,0.001694717,0.001167234,0.001209544,0.04210756],"study_design_scores_gemma":[0.000007843115,0.0003653142,0.8682024,0.00007539857,0.0000278762,0.0002342528,0.1239929,0.001084675,0.0004913534,0.0001059236,0.005366917,0.00004513857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985427,0.00006337777,0.00002736622,0.00009716956,0.000002056285,0.00001435683,0.00002037224,0.000002979446,0.001229706],"genre_scores_gemma":[0.9987369,0.0001370757,0.00009770162,0.00005230129,0.000003187152,0.00001848482,0.00003210754,0.000002279054,0.0009199381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03208362,"threshold_uncertainty_score":0.06379378,"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."}}