{"id":"W1963718791","doi":"10.1136/bmjopen-2014-007053","title":"Trading quality for relevance: non-health decision-makers’ use of evidence on the social determinants of health","year":2015,"lang":"en","type":"article","venue":"BMJ Open","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"School for Public Health Research; Economic and Social Research Council; National Institute for Health and Care Research","keywords":"Medicine; Relevance (law); Quality (philosophy); Public health; Social determinants of health; Environmental health; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0186543,0.00008646841,0.0005494382,0.00002973235,0.0007820074,0.00007614234,0.0006494227,0.00006549723,0.00002015631],"category_scores_gemma":[0.01242584,0.00005651807,0.00009169893,0.0002039294,0.0001745935,0.0003757738,0.0001112429,0.00008738741,0.000003043503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002682921,"about_ca_system_score_gemma":0.003901485,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04841961,"about_ca_topic_score_gemma":0.01879424,"domain_scores_codex":[0.996892,0.0009467282,0.0008798434,0.0001961651,0.0006486599,0.000436593],"domain_scores_gemma":[0.9924827,0.006008484,0.0008446445,0.000283566,0.000185015,0.0001956114],"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":[0.00164674,0.0002522778,0.1515394,0.001698732,0.00002579803,0.000001348906,0.1853772,0.00001234474,0.000002114163,0.05621056,0.2198177,0.3834158],"study_design_scores_gemma":[0.002240815,0.001180885,0.7859396,0.007009094,0.00001442911,9.153322e-7,0.1055767,0.0004042313,0.00005288136,0.01834032,0.0787544,0.0004857228],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8545799,0.0002355031,0.001175605,0.1259121,0.001124461,0.01581034,0.0001410985,0.00001932879,0.001001664],"genre_scores_gemma":[0.990118,0.0001338889,0.002296276,0.006727013,0.0001358073,0.0002181034,0.000001075102,0.00001048368,0.0003593151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6344003,"threshold_uncertainty_score":0.9991102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7607533845341597,"score_gpt":0.6383061915189057,"score_spread":0.1224471930152541,"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."}}