{"id":"W4391362070","doi":"10.1080/02642069.2024.2305451","title":"The dark side of artificial intelligence in services","year":2024,"lang":"en","type":"article","venue":"Service Industries Journal","topic":"AI in Service Interactions","field":"Computer Science","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Department of Biotechnology, Government of West Bengal; Ministerio de Ciencia e Innovación","keywords":"Great Rift; Far side of the Moon; Artificial intelligence; Computer science; Astronomy; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009206914,0.0001732744,0.0001759019,0.0002692822,0.0003205824,0.00120605,0.002176598,0.0001353294,0.00003971633],"category_scores_gemma":[0.000072696,0.0001248153,0.000063285,0.002837533,0.00007054074,0.001602749,0.000389847,0.001288372,0.0001195086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001198953,"about_ca_system_score_gemma":0.0005463876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003965306,"about_ca_topic_score_gemma":0.002500245,"domain_scores_codex":[0.9979326,0.0001387707,0.0007919615,0.0002627223,0.0004777496,0.0003962008],"domain_scores_gemma":[0.9979669,0.0007517394,0.0002032028,0.000501875,0.0004693625,0.0001068726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005183264,0.0001291163,0.0007003329,0.000200924,0.0001409223,0.0003278395,0.01379475,0.00480367,0.001696276,0.1088939,0.001726912,0.8675335],"study_design_scores_gemma":[0.0001882527,0.0003436882,0.002846351,0.003205339,0.00006789186,0.002719336,0.04027592,0.4190081,0.03306174,0.3761235,0.1211844,0.0009753976],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6047886,0.00811513,0.1456942,0.207326,0.01807871,0.0007617671,0.00003281342,0.0006128064,0.01458994],"genre_scores_gemma":[0.9955327,0.0002230104,0.00263189,0.0009468191,0.0005038774,0.0000106704,0.000001533169,0.00002084066,0.0001286522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8665581,"threshold_uncertainty_score":0.9998308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03514450896418293,"score_gpt":0.3043369663490465,"score_spread":0.2691924573848636,"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."}}