{"id":"W2753931696","doi":"10.1136/bmj.j3849","title":"Back to school to protect against coronary heart disease?","year":2017,"lang":"en","type":"letter","venue":"BMJ","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Cardiology; Coronary heart disease; Medicine; Internal medicine; Disease","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008317119,0.0008505726,0.001686653,0.001711801,0.009690586,0.007274432,0.002343769,0.107085,0.03283398],"category_scores_gemma":[0.05172478,0.001073914,0.001734372,0.001134166,0.007876159,0.009693995,0.006072012,0.08231566,0.01212178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008775989,"about_ca_system_score_gemma":0.02817163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03068038,"about_ca_topic_score_gemma":0.04891997,"domain_scores_codex":[0.9925467,0.002134576,0.0007714208,0.0005851065,0.001873617,0.002088509],"domain_scores_gemma":[0.9690784,0.009802513,0.001852771,0.0007330849,0.003577708,0.01495553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004588562,0.0000966915,0.00163288,0.00009420614,0.00002172147,0.0006368243,0.0003090179,0.00002616776,0.00008175597,0.007300126,0.9769563,0.01279831],"study_design_scores_gemma":[0.0002854117,0.0001015919,0.005013287,0.001614094,0.00006630603,0.0009006008,0.001963866,0.0001730842,0.0002052231,0.02780186,0.9617809,0.00009360303],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001658024,0.0006971479,0.00001402433,0.9917963,0.005822403,0.000003507926,0.00002359571,0.000005769219,0.001471457],"genre_scores_gemma":[0.002263786,0.0009051585,0.00005054424,0.9765664,0.01536047,0.00002018975,0.00001998224,0.00001040747,0.004803082],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.107085,"threshold_uncertainty_score":0.1098406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05522729712894017,"score_gpt":0.3378439493371949,"score_spread":0.2826166522082547,"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."}}