{"id":"W4390105566","doi":"10.55633/s3me/06.2023","title":"Models to predict bacteremia in the emergency department: a systematic review","year":2023,"lang":"es","type":"review","venue":"Emergencias","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Emergency department; Bacteremia; Humanities; Gynecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003166733,0.000723451,0.001882771,0.0001684675,0.0001744163,0.00007734537,0.001536608,0.0004225617,0.0003705473],"category_scores_gemma":[0.001938551,0.000527095,0.0008507149,0.00133125,0.00003032764,0.00001470496,0.0003680555,0.0003662007,0.001198241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009474764,"about_ca_system_score_gemma":0.0002724197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008331763,"about_ca_topic_score_gemma":0.0005834774,"domain_scores_codex":[0.9931948,0.001616698,0.002861783,0.001150261,0.0005310487,0.0006454581],"domain_scores_gemma":[0.9966192,0.00007866183,0.0007795776,0.002061621,0.0002570636,0.0002039408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000006937868,0.0001597028,0.00004840173,0.966913,0.0003230677,0.0000130462,0.0003175253,0.000007566676,0.0002991649,0.00012158,0.02992805,0.0018619],"study_design_scores_gemma":[0.0002617933,0.0003282552,0.0003963087,0.7213599,0.004262276,0.0000636188,0.0003504532,0.00009872124,0.00002700774,0.000198947,0.2706559,0.001996778],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001392237,0.9867766,0.00008975721,0.0003518802,0.001492791,0.008566666,0.0003314923,0.00005312998,0.0009454853],"genre_scores_gemma":[0.002080803,0.990864,0.00004181904,0.0004602419,0.0004687796,0.002387347,0.001494686,0.0001035595,0.002098725],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2455531,"threshold_uncertainty_score":0.9997181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08966632775526169,"score_gpt":0.3453543209802052,"score_spread":0.2556879932249435,"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."}}