{"id":"W2134837654","doi":"10.1186/1471-2458-12-286","title":"Hierarchical cluster analysis of labour market regulations and population health: a taxonomy of low- and middle-income countries","year":2012,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Population; Public health; Social determinants of health; Life expectancy; Medicine; Demographic economics; Economics; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003614694,0.0001484927,0.0007354629,0.0005689601,0.0006810094,0.000009810245,0.00007061579,0.0001130787,0.0002063053],"category_scores_gemma":[0.0003048658,0.0001267856,0.00006580547,0.0007231197,0.000143147,0.0002996527,0.0001402318,0.0002033012,0.000001292382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001685612,"about_ca_system_score_gemma":0.0005435387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003566997,"about_ca_topic_score_gemma":0.004218407,"domain_scores_codex":[0.9965425,0.001196477,0.001113557,0.0002148118,0.0002721396,0.0006605431],"domain_scores_gemma":[0.9974865,0.0009127399,0.0007409995,0.0002655609,0.0001858136,0.0004083344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003744175,0.00005640924,0.9711205,0.002913122,0.0001398874,1.887963e-8,0.003605345,0.000001068761,8.54887e-8,0.02065478,0.001075456,0.0003958793],"study_design_scores_gemma":[0.0005801381,0.00006728332,0.9796547,0.0002698452,0.0000401714,3.631078e-7,0.0009290195,0.0002642823,8.491389e-8,0.0001718581,0.01793326,0.00008896879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591982,0.001719687,0.0009932349,0.0360912,0.0001509281,0.001133861,0.0002767207,0.00004098005,0.0003952351],"genre_scores_gemma":[0.995121,0.0004156568,0.001733084,0.001571267,0.0001261784,0.0001121636,0.00009393176,0.00001409651,0.0008126056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03592287,"threshold_uncertainty_score":0.5392256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09026959247427829,"score_gpt":0.38532877846105,"score_spread":0.2950591859867717,"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."}}