{"id":"W4313649178","doi":"10.1002/hsr2.1044","title":"Exploring psychological well‐being in business and economics arena: A bibliometric analysis","year":2023,"lang":"en","type":"article","venue":"Health Science Reports","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scopus; Unemployment; Mental health; Work (physics); Coronavirus disease 2019 (COVID-19); Pandemic; Political science; Public relations; Sociology; Psychology; Social science; Economics; Engineering; Medicine; Economic growth; Disease; MEDLINE; Law; Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.004613256,0.0001631658,0.0004217613,0.05052729,0.0003358467,0.0001099525,0.0001663668,0.00009128838,0.0001308006],"category_scores_gemma":[0.00026625,0.000142835,0.00006193342,0.2275421,0.0002772739,0.0004071112,0.00008781371,0.0002500226,0.00009822078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001381775,"about_ca_system_score_gemma":0.000076852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00111792,"about_ca_topic_score_gemma":0.00009361552,"domain_scores_codex":[0.9968067,0.00007912616,0.0007896183,0.001152652,0.0002977309,0.0008741238],"domain_scores_gemma":[0.9985463,0.0001376018,0.0003505851,0.0005486718,0.00007130738,0.000345547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001609601,0.00009139581,0.9187273,0.00001685182,0.00001856576,0.000287127,0.0006267735,0.0004142367,0.00002675678,0.001027645,0.0002565478,0.07849067],"study_design_scores_gemma":[0.0001472363,0.00007151415,0.9958654,0.00001952896,0.00001009494,0.0002189363,0.0002571673,0.0002125013,0.000003988446,0.001596481,0.001446272,0.0001508615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977168,0.0001197652,0.0001251836,0.001373728,0.001798218,0.000203986,7.466041e-7,0.0001936485,0.01901675],"genre_scores_gemma":[0.9970154,0.002022835,0.0001831203,0.0004408379,0.00008442096,0.00008289488,0.000005754625,0.000009851296,0.0001549086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1770148,"threshold_uncertainty_score":0.9602342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1930312459323879,"score_gpt":0.4217535944704521,"score_spread":0.2287223485380643,"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."}}