{"id":"W4404420552","doi":"10.1093/ckj/sfae347","title":"Prediction models for ischemic stroke and bleeding in dialysis patients: a systematic review and meta-analysis","year":2024,"lang":"en","type":"review","venue":"Clinical Kidney Journal","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Meta-analysis; Stroke (engine); Medicine; Ischemic stroke; Dialysis; Internal medicine; Systematic review; Cardiology; MEDLINE; Ischemia; Engineering","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":[0.01814334,0.003503069,0.01929503,0.007458759,0.0006148123,0.003510861,0.002730485,0.002145225,0.003827551],"category_scores_gemma":[0.04495228,0.001598956,0.04317569,0.007264614,0.0007540768,0.002105655,0.001422416,0.002250405,0.0003587635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002954209,"about_ca_system_score_gemma":0.004458039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01017514,"about_ca_topic_score_gemma":0.01437238,"domain_scores_codex":[0.9888021,0.006193727,0.002497975,0.00110698,0.001151804,0.0002475028],"domain_scores_gemma":[0.9620388,0.03097706,0.00401644,0.0007271777,0.001989613,0.0002508844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001120619,0.00004159366,0.005147469,0.4683426,0.5059071,0.0001051387,0.00007198024,0.001355793,0.00008349941,0.0002112575,0.0009002212,0.01671271],"study_design_scores_gemma":[0.0004644566,0.0001665507,0.003328334,0.04299596,0.9501632,0.00009671317,0.00003417016,0.0007617984,0.00008040376,0.0003701502,0.001502392,0.00003596942],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002743717,0.9952402,0.000722911,0.0002469099,0.00009909818,0.0002411776,0.0005273528,0.00003017077,0.0001484304],"genre_scores_gemma":[0.1273582,0.8659044,0.003199921,0.0008042682,0.0003039457,0.001125549,0.001071575,0.00003031163,0.0002018763],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01929503,"threshold_uncertainty_score":0.09595233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1798356838933383,"score_gpt":0.4179706300861958,"score_spread":0.2381349461928575,"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."}}