{"id":"W4377006871","doi":"10.7202/1095929ar","title":"Stratégies pour servir avec le sourire : effet des orientations clients et impacts sur la performance de service","year":2023,"lang":"fr","type":"article","venue":"Humain et Organisation","topic":"Emotional Labor in Professions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Humanities; Political science; Psychology; Philosophy","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":[0.004063284,0.0003822595,0.0002277958,0.0004759723,0.000968034,0.002140941,0.0005066536,0.0007215635,0.005461773],"category_scores_gemma":[0.01113668,0.000235873,0.0003147349,0.000541946,0.001222677,0.0005377457,0.001446315,0.001006415,0.00093928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001330207,"about_ca_system_score_gemma":0.002988663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007154912,"about_ca_topic_score_gemma":0.01324764,"domain_scores_codex":[0.9966797,0.001869818,0.00008926478,0.0001333577,0.0007442752,0.0004837058],"domain_scores_gemma":[0.9887822,0.006955163,0.001361107,0.0004410055,0.0008417899,0.001618678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009613144,0.003398427,0.6899608,0.0004291272,0.0001604425,0.0005267322,0.06879102,0.0005262949,0.009985584,0.003757381,0.000924745,0.2205781],"study_design_scores_gemma":[0.00008904815,0.002752636,0.8826456,0.0002476427,0.0000964165,0.000277735,0.1017844,0.0004926551,0.002977283,0.001981538,0.006614976,0.00004014124],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937055,0.0002156706,0.0003163158,0.0002714967,0.000006930472,0.00003640295,0.00001532644,0.000004115632,0.005428143],"genre_scores_gemma":[0.9963,0.0004263268,0.0006800849,0.00009907872,0.000007259805,0.00005162686,0.00002190796,0.000005747724,0.002407918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007154912,"threshold_uncertainty_score":0.0214889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04538163757128771,"score_gpt":0.3520776784762507,"score_spread":0.3066960409049629,"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."}}