{"id":"W4386958572","doi":"10.47750/jett.2023.14.04.019","title":"Bibliometric Analysis of Studies on Well-Being","year":2023,"lang":"en","type":"article","venue":"Journal for Educators Teachers and Trainers","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Monash University; University College London; King's College London; Deakin University; University of Oxford; University of Toronto; World Health Organization","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01495477,0.0007625649,0.002443323,0.1993786,0.001270787,0.00584389,0.0009753216,0.0006552265,0.008124021],"category_scores_gemma":[0.08854691,0.0002697403,0.002872312,0.2609503,0.0009360469,0.004105094,0.002945205,0.0005206483,0.001016828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003422385,"about_ca_system_score_gemma":0.00382719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005361885,"about_ca_topic_score_gemma":0.006432072,"domain_scores_codex":[0.9667703,0.008828815,0.007124289,0.001829392,0.01457638,0.0008708469],"domain_scores_gemma":[0.9012313,0.06119191,0.02021232,0.003582352,0.01274112,0.001040919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005878083,0.0002269607,0.6040999,0.02749972,0.007547965,0.0007601467,0.008089378,0.003358393,0.001297016,0.01632097,0.02403708,0.3061747],"study_design_scores_gemma":[0.00005896025,0.0002933474,0.8904084,0.003603196,0.002058348,0.0007792048,0.01279224,0.002767932,0.0009028268,0.006634544,0.0795679,0.0001329942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6531413,0.09172656,0.007879543,0.002664446,0.0009069736,0.002120631,0.08946481,0.0005936177,0.1515021],"genre_scores_gemma":[0.9350315,0.02446981,0.00554662,0.0001861782,0.0006599161,0.001627204,0.02879767,0.00009038518,0.00359072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8006214,"threshold_uncertainty_score":0.07908934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.074757083180157,"score_gpt":0.4347583891030321,"score_spread":0.3600013059228751,"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."}}