{"id":"W4392009308","doi":"10.7202/1109478ar","title":"Job Standardization and Employee Voice","year":2024,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Emotional Labor in Professions","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Standardization; Employee voice; Business; Public relations; Computer science; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003097529,0.0002013882,0.0002067583,0.0006664971,0.001505794,0.002303423,0.0003015133,0.0008124809,0.003729553],"category_scores_gemma":[0.01231923,0.0001480549,0.0003073291,0.0004465786,0.001955833,0.0009361565,0.002128751,0.0008738321,0.000313179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009460201,"about_ca_system_score_gemma":0.0008854573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001393406,"about_ca_topic_score_gemma":0.001438837,"domain_scores_codex":[0.9964874,0.001853333,0.000155313,0.0003002603,0.0006665386,0.0005372655],"domain_scores_gemma":[0.9814843,0.009403221,0.004930301,0.0007598595,0.00111662,0.002305555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003174039,0.0005316542,0.8277077,0.0001952728,0.0001516585,0.0004218043,0.06907428,0.0006458626,0.003085867,0.01001142,0.00258191,0.08527526],"study_design_scores_gemma":[0.00004566164,0.0003352305,0.9297598,0.0001498925,0.00007318292,0.000278487,0.05224902,0.0009568525,0.0009413928,0.006543458,0.008605582,0.00006155635],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806789,0.0004755538,0.0009514914,0.00127142,0.0000576575,0.00001297197,0.00002228947,0.00001425804,0.01651546],"genre_scores_gemma":[0.9991898,0.00007105155,0.00008469974,0.0001257618,0.00001481123,0.00000477477,0.000009270939,0.000003744009,0.0004960743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003729553,"threshold_uncertainty_score":0.0163815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03389342418605712,"score_gpt":0.3407737654711452,"score_spread":0.3068803412850881,"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."}}