{"id":"W2014608045","doi":"10.1177/0020715213501823","title":"Hidden sides of the credit economy: Emotions, outsourcing, and Indian call centers","year":2013,"lang":"en","type":"article","venue":"International Journal of Comparative Sociology","topic":"Emotional Labor in Professions","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outsourcing; Debt; Business; Globalization; Marketing; Economics; Finance; Market economy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004645282,0.00007633154,0.0002105726,0.0001078788,0.0002093004,0.0000297044,0.0005502899,0.00009078688,0.0003737296],"category_scores_gemma":[0.0002714566,0.0000542735,0.0001084594,0.00005174476,0.001184396,0.0002933845,0.00009716583,0.000290723,0.00001545922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001460197,"about_ca_system_score_gemma":0.0003032777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003303279,"about_ca_topic_score_gemma":0.0002191323,"domain_scores_codex":[0.9985449,0.000567319,0.0004146515,0.0000855414,0.0002541925,0.0001334438],"domain_scores_gemma":[0.9976322,0.0005983932,0.0006169842,0.0000638835,0.001009361,0.00007915014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004187108,0.000193451,0.3584661,0.000007012355,0.0006808634,0.000006765498,0.1450675,0.0001455126,0.0008492313,0.4609008,0.03284745,0.0007933949],"study_design_scores_gemma":[0.0007810591,0.000113977,0.7073741,0.0001379379,0.00003129517,0.00003424707,0.04003675,0.00004813411,0.0002783042,0.2343941,0.01662586,0.0001442017],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9603449,0.0001645558,0.0001449314,0.02691055,0.001611212,0.0001312166,0.0000143228,0.000004794135,0.01067349],"genre_scores_gemma":[0.9980124,0.00004785528,0.000369295,0.0005567727,0.0004952683,0.000003665824,0.000002010937,0.000003719077,0.0005090112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.348908,"threshold_uncertainty_score":0.4363955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04147346545520039,"score_gpt":0.3675723902606,"score_spread":0.3260989248053996,"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."}}