{"id":"W2889937801","doi":"10.1016/s0140-6736(18)31789-6","title":"Interpretation of results of pooled analysis of individual patient data","year":2018,"lang":"en","type":"letter","venue":"The Lancet","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; Biotronik; Bayer HealthCare; Medicines Company; Boston Scientific Corporation; Biosensors International Group; Canada Research Chairs; Symetis; Medtronic; Novartis; GlaxoSmithKline; Edwards Lifesciences; Amgen; Pfizer; Bayer; AstraZeneca; Eli Lilly and Company; Abbott Vascular; St. Jude Medical; Abbott Laboratories","keywords":"Medicine; Percutaneous coronary intervention; Conventional PCI; Internal medicine; Coronary artery disease; Cardiology; Hazard ratio; Artery; Revascularization; Myocardial infarction; Confidence interval","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.168483,0.001792339,0.006355288,0.004823457,0.001566906,0.008530995,0.00467057,0.02270951,0.005243543],"category_scores_gemma":[0.6675853,0.001897837,0.00616301,0.005128388,0.003963424,0.004062502,0.002755306,0.01725713,0.00375201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00401148,"about_ca_system_score_gemma":0.004105131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001905196,"about_ca_topic_score_gemma":0.002499747,"domain_scores_codex":[0.5815131,0.3322383,0.04114231,0.01091317,0.03034331,0.003849739],"domain_scores_gemma":[0.3186227,0.5905127,0.0263268,0.03048909,0.03180547,0.002243266],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004343105,0.0001223001,0.0167655,0.005601001,0.01235136,0.005164787,0.001328415,0.001610924,0.0009446202,0.01518042,0.823594,0.1129936],"study_design_scores_gemma":[0.009290349,0.001517843,0.04032933,0.01639495,0.02128787,0.014269,0.002089754,0.0227401,0.006824787,0.3607583,0.5032876,0.00121008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004416012,0.01474662,0.0226188,0.8881178,0.05666393,0.0004050189,0.002853887,0.0003908581,0.00978698],"genre_scores_gemma":[0.08480949,0.004980726,0.02925906,0.7528215,0.1225847,0.001364422,0.0009112971,0.0004209802,0.00284788],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.831517,"threshold_uncertainty_score":0.8910342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05973705277353909,"score_gpt":0.3328288292626853,"score_spread":0.2730917764891462,"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."}}