{"id":"W1603428718","doi":"10.7202/028023ar","title":"Impact of Ethnic differences in the work force in Industrial Relations : A case study","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Accommodation; Mill; Work (physics); Work force; Process (computing); Sociology; Political science; Public relations; Psychology; Engineering; Law; Computer science; Mechanical engineering","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":[0.003460569,0.000333528,0.0003160835,0.001122764,0.01275485,0.002426947,0.0009988929,0.001559012,0.003968255],"category_scores_gemma":[0.005061225,0.0003142228,0.0002811085,0.001589559,0.003399685,0.001157963,0.002665503,0.001497787,0.0003055971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00314411,"about_ca_system_score_gemma":0.001647856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02832005,"about_ca_topic_score_gemma":0.09150053,"domain_scores_codex":[0.9960814,0.00280855,0.00009200077,0.0001042782,0.0002364158,0.0006773113],"domain_scores_gemma":[0.9958181,0.002854655,0.0004737936,0.0001434943,0.0001817943,0.0005282458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004355079,0.002982137,0.1842259,0.0001887466,0.00004668029,0.05745237,0.7025382,0.0006730329,0.001460446,0.01154417,0.001581584,0.03687128],"study_design_scores_gemma":[0.00003383668,0.0003805091,0.0415171,0.00009739096,0.00002926043,0.008937749,0.940488,0.0003937742,0.0004912104,0.0006037931,0.007005689,0.00002162852],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940081,0.0001553327,0.00009026082,0.000419754,0.000005897178,0.00001242422,0.000007049038,0.000001295531,0.005299975],"genre_scores_gemma":[0.9980441,0.0002231824,0.0001051344,0.00008119659,0.00000483038,0.00001069595,0.000004195783,0.000001805186,0.001524847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02832005,"threshold_uncertainty_score":0.05631042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1120754537846987,"score_gpt":0.3672042672183421,"score_spread":0.2551288134336434,"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."}}