{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01086693,0.0007538979,0.002659957,0.2202765,0.002398499,0.007457639,0.001300396,0.00117576,0.005858869],"category_scores_gemma":[0.07015707,0.0004484045,0.002400303,0.2939234,0.001464604,0.004348448,0.003789277,0.0007374943,0.00096386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003448981,"about_ca_system_score_gemma":0.008613915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007271681,"about_ca_topic_score_gemma":0.008082514,"domain_scores_codex":[0.9858211,0.002957748,0.003328309,0.001066994,0.0062052,0.0006206895],"domain_scores_gemma":[0.9357637,0.04660149,0.007262431,0.002014298,0.007380967,0.0009770764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003165225,0.0004157116,0.4400854,0.06383032,0.003113796,0.001949484,0.01457676,0.00325266,0.001768323,0.01551274,0.03668661,0.4184918],"study_design_scores_gemma":[0.0001031322,0.0003266249,0.7258222,0.01486535,0.005107325,0.002251502,0.0355031,0.01138347,0.001900087,0.01505444,0.1873274,0.0003553909],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7076285,0.0582114,0.01572711,0.008025071,0.0004356748,0.005306098,0.1324323,0.001022049,0.07121171],"genre_scores_gemma":[0.8915762,0.03459894,0.02350841,0.000294108,0.0004385708,0.004842624,0.04165382,0.0001278259,0.002959584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7797235,"threshold_uncertainty_score":0.0574705,"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."}}