{"id":"W2884255019","doi":"10.1016/j.resuscitation.2018.04.021","title":"Combining individual patient data from multiple trials require specific modelling techniques in order to provide accurate predictions","year":2018,"lang":"en","type":"letter","venue":"Resuscitation","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kelowna General Hospital","funders":"","keywords":"Medicine; Scopus; Population; Cardiopulmonary resuscitation; Logistic regression; Extracorporeal; MEDLINE; Intensive care medicine; Emergency medicine; Resuscitation; Internal medicine","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":[0.04742305,0.001172967,0.003866057,0.0009189743,0.0004331234,0.004670723,0.002016395,0.007026985,0.003157922],"category_scores_gemma":[0.268054,0.0009376929,0.003053656,0.001825391,0.0009338742,0.004311743,0.001161912,0.009826209,0.002981913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001489848,"about_ca_system_score_gemma":0.001772734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001233364,"about_ca_topic_score_gemma":0.002428829,"domain_scores_codex":[0.9647532,0.02334562,0.005339393,0.002044677,0.004063399,0.0004537882],"domain_scores_gemma":[0.6359899,0.3337799,0.008428317,0.01182311,0.009225423,0.0007534228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002280121,0.0004666873,0.06965515,0.005808688,0.005639165,0.006294805,0.0008638407,0.1089268,0.002121447,0.03043404,0.2399996,0.5275097],"study_design_scores_gemma":[0.001024967,0.00113421,0.02769536,0.004029463,0.003313168,0.0102202,0.001261731,0.3025294,0.003325821,0.466849,0.1780899,0.0005268364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.02464215,0.01869979,0.527992,0.389446,0.01314879,0.0009901967,0.007406333,0.001015287,0.01665949],"genre_scores_gemma":[0.4285534,0.021441,0.3375334,0.1698944,0.02902087,0.002894924,0.004990102,0.0006109413,0.005060927],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.04742305,"threshold_uncertainty_score":0.2508001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1508320787605668,"score_gpt":0.3527895983268028,"score_spread":0.201957519566236,"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."}}