{"id":"W1854351517","doi":"10.1177/001979390906200404","title":"How Institutions and Business Strategies Affect Wages: A Cross-National Study of Call Centers","year":2009,"lang":"en","type":"article","venue":"Industrial and Labor Relations Review","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wage dispersion; Wage; Affect (linguistics); Flexibility (engineering); Outsourcing; Variation (astronomy); Economics; Labour economics; Demographic economics; Efficiency wage; Business; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001349154,0.0001121454,0.0003154411,0.001100991,0.0008161239,0.001016539,0.0004940376,0.0003696765,0.001790152],"category_scores_gemma":[0.003281457,0.0002131042,0.0002515823,0.002416273,0.0003518258,0.0007618593,0.001039671,0.0006063189,0.0004343675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006441615,"about_ca_system_score_gemma":0.0005232358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02260846,"about_ca_topic_score_gemma":0.05713832,"domain_scores_codex":[0.9990298,0.0003371779,0.00006872958,0.0001527689,0.0001735925,0.0002379762],"domain_scores_gemma":[0.9955923,0.001147911,0.002241503,0.0001536541,0.0004094852,0.000455242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005828414,0.0001483892,0.9858267,0.00002796408,0.00005529769,0.0000826338,0.005090355,0.00005364673,0.0001477079,0.0001378367,0.0003219617,0.00804921],"study_design_scores_gemma":[0.00000144333,0.00002855537,0.9948954,0.0000099513,0.00001008048,0.00003832818,0.004420289,0.00003365814,0.0000202553,0.0000152696,0.0005243092,0.000002401197],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990687,0.0002857498,0.00003875987,0.00004369967,0.000001599388,0.000003433491,0.00006916043,6.340607e-7,0.0004883683],"genre_scores_gemma":[0.9988434,0.0003427465,0.00005832177,0.00004208354,0.000004344653,0.0000078825,0.0002086308,0.000002090412,0.0004904649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02260846,"threshold_uncertainty_score":0.0449537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09761697662926065,"score_gpt":0.3798212848820133,"score_spread":0.2822043082527527,"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."}}