{"id":"W2525976898","doi":"10.1016/j.cjca.2016.07.389","title":"USING THE WORKPLACE TO OPTIMIZE HEART HEALTH. THE 1-YEAR RESULTS OF THE MERCK CANADA EMPLOYEE WELLNESS PROGRAM","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Workplace Health and Well-being","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0008012238,0.0001479724,0.0001651237,0.0002551458,0.001068659,0.0006154992,0.0003794992,0.0004344795,0.003090002],"category_scores_gemma":[0.001789475,0.0000624808,0.0002265177,0.0003160308,0.0001704933,0.0001803011,0.0005764439,0.0006754816,0.0003261294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002145053,"about_ca_system_score_gemma":0.009456801,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2321628,"about_ca_topic_score_gemma":0.5958558,"domain_scores_codex":[0.999403,0.0001095161,0.00001056446,0.0000205136,0.0002151707,0.0002411881],"domain_scores_gemma":[0.9989297,0.00006037657,0.00009148562,0.00002277757,0.0002174745,0.0006782408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008165935,0.005401587,0.1439574,0.000300099,0.000110493,0.0001369314,0.0006313417,0.0003011482,0.002133558,0.0007542514,0.05565285,0.7898037],"study_design_scores_gemma":[0.000367293,0.001833781,0.9639059,0.0003392767,0.0001316252,0.0001062648,0.001110643,0.000280171,0.0007604074,0.0002906397,0.03084886,0.00002502792],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8829772,0.02650445,0.0006649039,0.0397462,0.001271777,0.000218063,0.001529514,0.0001234779,0.04696451],"genre_scores_gemma":[0.9860297,0.004386122,0.001231903,0.002234183,0.0002199518,0.00004082014,0.0004007597,0.00001196475,0.005444575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7678372,"threshold_uncertainty_score":0.4616229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03925762316328888,"score_gpt":0.3567640870918767,"score_spread":0.3175064639285878,"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."}}