{"id":"W7009659413","doi":"","title":"Examining factors in presenteeism and absenteeism: physical activity rates and mental health related predictors of productivity loss in a mining population","year":2023,"lang":"en","type":"dissertation","venue":"Lu Zone Ul (Laurentian University)","topic":"Workplace Health and Well-being","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presenteeism; Mental health; Absenteeism; Productivity; Psychological intervention; Depression (economics); Sick leave; Population","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":[],"consensus_categories":[],"category_scores_codex":[0.00124551,0.0001720694,0.0002539415,0.000911726,0.001665145,0.001437039,0.0008677701,0.0005393698,0.002478377],"category_scores_gemma":[0.003331059,0.0002355898,0.0006225203,0.001265872,0.0004455273,0.0005381766,0.001128042,0.001248269,0.0003872488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003450794,"about_ca_system_score_gemma":0.005047018,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6252102,"about_ca_topic_score_gemma":0.7750905,"domain_scores_codex":[0.9992751,0.000114367,0.00004716326,0.00007657528,0.0002560733,0.0002306279],"domain_scores_gemma":[0.9984316,0.0001605572,0.0004398561,0.00006927511,0.0003739352,0.000524651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001488411,0.00007173546,0.995674,0.00001205109,0.00002368388,0.00001715209,0.0009064187,0.00001225697,0.00004113328,0.00002562159,0.0004235871,0.002777433],"study_design_scores_gemma":[0.000001038372,0.00001494831,0.9981447,0.0000157282,0.000009675091,0.00001139408,0.001514033,0.00004048564,0.000008737291,0.00001048586,0.0002270412,0.00000179996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964572,0.000558213,0.00005834274,0.0006769319,0.0000139011,0.00002118132,0.0005963932,0.000001938264,0.001615873],"genre_scores_gemma":[0.9978803,0.0004016953,0.00005734695,0.0001091372,0.00001301721,0.00001967241,0.0005477614,0.000001588008,0.0009695368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6252102,"threshold_uncertainty_score":0.753994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02361050093888472,"score_gpt":0.3122334383041296,"score_spread":0.2886229373652449,"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."}}