{"id":"W3158780789","doi":"10.33422/ejbs.v3i4.436","title":"Mental Health at Workplace: A Bibliometric Analysis of Literature from Canada","year":2020,"lang":"en","type":"article","venue":"European journal of behavioral sciences","topic":"Workplace Health and Well-being","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Mental health; Context (archaeology); Theme (computing); Qualitative research; Bibliometrics; Psychology; Health care; Content analysis; Public relations; Applied psychology; Medical education; Sociology; Medicine; Library science; Political science; Social science; Computer science; Psychiatry; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002732013,0.0001515614,0.0005774215,0.007582664,0.0009377627,0.00003434062,0.0005791788,0.00003563836,0.0006924667],"category_scores_gemma":[0.0001027568,0.0001111777,0.0001643724,0.07638825,0.0001093574,0.0002299425,0.0001653001,0.0006570171,0.00001511057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003014095,"about_ca_system_score_gemma":0.001632066,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04119575,"about_ca_topic_score_gemma":0.04369893,"domain_scores_codex":[0.9953259,0.001605398,0.001272363,0.0002498502,0.001013871,0.0005325911],"domain_scores_gemma":[0.9970508,0.0002453689,0.001533936,0.0001294065,0.0002133,0.0008272359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001818588,0.00005941309,0.927495,0.00004961033,0.00007786621,0.000136253,0.01372546,0.0001614857,0.0003620085,0.000009307188,0.04720849,0.01053324],"study_design_scores_gemma":[0.001001499,0.001064764,0.9620559,0.0006680234,0.000257339,0.000006250338,0.006425784,0.0001765389,0.00005013238,0.000004856824,0.0280788,0.0002100935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984571,0.003579586,0.00003102875,0.009794717,0.0007529113,0.0001598988,0.0001354195,0.00001028515,0.0009651284],"genre_scores_gemma":[0.994817,0.0004441414,0.0009298279,0.003361173,0.0002874432,5.368075e-7,0.00002136437,0.00001226689,0.0001262014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06880559,"threshold_uncertainty_score":0.9737511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.065178349228695,"score_gpt":0.3958139352608832,"score_spread":0.3306355860321882,"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."}}