{"id":"W4404848694","doi":"10.1080/14927713.2024.2436250","title":"Correction","year":2024,"lang":"en","type":"article","venue":"Leisure/Loisir","topic":"Emotional Labor in Professions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005750633,0.00007197005,0.00007975014,0.00007601774,0.0004655394,0.0001147452,0.0001542271,0.0001182214,0.0009770397],"category_scores_gemma":[0.0002598834,0.0000656902,0.00006119056,0.0005213434,0.0001152849,0.0002520569,0.00002870913,0.0002468021,0.001192597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001397966,"about_ca_system_score_gemma":0.0002888332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007201079,"about_ca_topic_score_gemma":0.00136371,"domain_scores_codex":[0.9989051,0.0001609134,0.0001234495,0.0002063889,0.000374603,0.0002295975],"domain_scores_gemma":[0.9993647,0.000330008,0.00002021891,0.0001175171,0.00007957114,0.00008799362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003626095,0.00003644099,0.004944523,0.00001619137,0.00001967276,0.00001725777,0.004390103,0.00001476135,0.000382618,0.7872936,0.1834386,0.01944262],"study_design_scores_gemma":[0.00003666162,0.00001313521,0.006725193,0.0001118265,0.00001160916,0.000002313331,0.001001535,0.000171377,0.0002497988,0.01793347,0.9736351,0.0001079917],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.195866,0.001049304,0.0007555847,0.01348755,0.03162543,0.0003272199,0.00001586405,0.001176859,0.7556961],"genre_scores_gemma":[0.9117795,0.00008114854,0.0001824187,0.0001282824,0.001042556,0.00001682913,0.000007557551,0.00001396421,0.08674774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7901965,"threshold_uncertainty_score":0.9999362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02878393314300533,"score_gpt":0.3541916696158741,"score_spread":0.3254077364728688,"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."}}