{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001731867,0.000427382,0.0009849513,0.0008721949,0.0001801551,0.0001995566,0.0003731892,0.0008433025,0.00003965549],"category_scores_gemma":[0.002625801,0.0003881469,0.0001318316,0.001143529,0.00009369147,0.0006479088,0.0002588647,0.001188657,0.0000851391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003054241,"about_ca_system_score_gemma":0.0004234047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005048473,"about_ca_topic_score_gemma":0.0001336251,"domain_scores_codex":[0.9952074,0.0006394818,0.001479496,0.001121128,0.001082662,0.0004698433],"domain_scores_gemma":[0.9958724,0.001393014,0.0006771079,0.001234879,0.0006940885,0.0001285475],"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":[0.0006082889,0.00009289645,0.0006441468,0.0001866141,0.0002475689,0.0001077476,0.003119603,0.001527434,0.0006054268,0.000007920931,0.9843851,0.008467262],"study_design_scores_gemma":[0.001955861,0.000280799,0.001570889,0.002512349,0.000411794,0.000002819238,0.0005769818,0.02127847,0.000399794,0.0004927649,0.9699331,0.0005843825],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.07854321,0.001313865,0.4854934,0.3783231,0.01778563,0.01985706,0.01448391,0.001383707,0.002816166],"genre_scores_gemma":[0.2051599,0.0009911561,0.2438186,0.148352,0.05495004,0.002352755,0.343024,0.0007383599,0.000613179],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3285401,"threshold_uncertainty_score":0.9998571,"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."}}