{"id":"W1987896589","doi":"10.1097/00006199-200507000-00010","title":"Predicting Nosocomial Bloodstream Infections Using Surrogate Markers of Injury Severity","year":2005,"lang":"en","type":"article","venue":"Nursing Research","topic":"Nosocomial Infections in ICU","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Bloodstream infection; Surrogate endpoint; Intensive care medicine; Medicine; 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":[0.006448029,0.0009859749,0.0004523624,0.001373281,0.0002190775,0.0009383364,0.0004484502,0.0004506333,0.001380783],"category_scores_gemma":[0.02780031,0.0002846777,0.001145667,0.0009003974,0.0003690914,0.0006878344,0.0008224334,0.001115767,0.0002606356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003147928,"about_ca_system_score_gemma":0.001324339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001666111,"about_ca_topic_score_gemma":0.001609768,"domain_scores_codex":[0.9973442,0.001707115,0.0002652899,0.000199839,0.0003599888,0.0001236703],"domain_scores_gemma":[0.9798514,0.009984984,0.007220733,0.0005833355,0.001475086,0.0008845657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001800633,0.00009085384,0.9945654,0.00003637935,0.00009533777,0.00002781988,0.00003202965,0.001128805,0.0001079522,0.00004903381,0.00008405212,0.003602338],"study_design_scores_gemma":[0.0001272608,0.003886926,0.9243436,0.0002724305,0.000352958,0.0006499963,0.000315229,0.06665282,0.001571437,0.001239269,0.0005439911,0.00004396981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913675,0.000712945,0.006763875,0.0003455878,0.00002650324,0.00005871618,0.0002924478,0.00001849871,0.0004139564],"genre_scores_gemma":[0.9968438,0.0002728179,0.002503589,0.00002689747,0.00001377073,0.0000238523,0.0002387612,0.000002247525,0.00007430562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006448029,"threshold_uncertainty_score":0.03410083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0661999251990853,"score_gpt":0.4470186828528936,"score_spread":0.3808187576538083,"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."}}