{"id":"W7120378435","doi":"","title":"Risk prediction in cardiac surgery and reference values of inflammatory indexes derivated from blood cell count","year":2024,"lang":"pt","type":"dissertation","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Laboratory of Pattern Recognition; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Canadian Cardiovascular Society","keywords":"Cardiac surgery; Subclinical infection; Predictive value; Population; Cardiopulmonary bypass; Systemic inflammation; Predictive value of tests","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00310508,0.0006196004,0.0006146269,0.002471421,0.0002918341,0.0009681212,0.0005680223,0.0005094465,0.0009097058],"category_scores_gemma":[0.00942982,0.0001655345,0.000533508,0.002067981,0.0003431072,0.0003720385,0.0006141379,0.0007707062,0.0006057633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003495149,"about_ca_system_score_gemma":0.0004792917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002181224,"about_ca_topic_score_gemma":0.001421325,"domain_scores_codex":[0.9980986,0.0006901363,0.0002902955,0.000382744,0.0004258323,0.0001124776],"domain_scores_gemma":[0.9968138,0.00121304,0.000757906,0.0003395182,0.000683684,0.000192095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007756716,0.0001129636,0.9682983,0.0001345195,0.0001591208,0.0002281847,0.000297741,0.001414132,0.0008821841,0.0004388203,0.0007875268,0.02647081],"study_design_scores_gemma":[0.0000560729,0.0009653341,0.9811556,0.0001485112,0.0003016381,0.001369989,0.0005922691,0.007436477,0.001967338,0.001572757,0.004387223,0.0000465603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629714,0.0124201,0.01531209,0.0002086421,0.0001903313,0.0001317425,0.00222735,0.0002233835,0.006314856],"genre_scores_gemma":[0.9878736,0.001346911,0.007154477,0.00007019503,0.00008638253,0.0001647133,0.002598294,0.00002776523,0.0006776561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00310508,"threshold_uncertainty_score":0.01642138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01333075237888768,"score_gpt":0.2350459685938668,"score_spread":0.2217152162149791,"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."}}