{"id":"W2603487522","doi":"10.1186/s13054-017-1653-x","title":"A path to precision in the ICU","year":2017,"lang":"en","type":"review","venue":"Critical Care","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"Clinical Evaluation Research Unit; University of Toronto; St. Michael's Hospital; Centre Hospitalier Universitaire de Sherbrooke; Queen's University; Université de Sherbrooke; Kingston General Hospital","funders":"Southeastern Ontario Academic Medical Organization","keywords":"Medicine; Path (computing); Intensive care medicine; Emergency medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001374291,0.0002039942,0.0009433612,0.00007047634,0.00006857677,0.00006384699,0.0002131249,0.0001779814,0.0000884777],"category_scores_gemma":[0.00169609,0.0001001407,0.0003502009,0.00007673215,0.00004002086,0.00001592213,0.00006441768,0.0002579146,0.000327739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001475476,"about_ca_system_score_gemma":0.0001262731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001680506,"about_ca_topic_score_gemma":0.00001247139,"domain_scores_codex":[0.9988561,0.0001004874,0.0002478527,0.0003103148,0.0002739464,0.0002112985],"domain_scores_gemma":[0.9983177,0.0006740048,0.00002296601,0.0007654481,0.00008365911,0.0001362624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002848466,0.0001213436,0.00006053999,0.01089234,0.00001188473,0.000467554,0.000237112,1.21942e-9,3.286052e-9,0.0004886159,0.002751981,0.9849658],"study_design_scores_gemma":[0.000152439,0.0002633758,0.0004199331,0.0290565,0.0008009144,0.00005641759,0.0002176299,5.806561e-8,1.804276e-7,0.00003775938,0.9688974,0.00009739657],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001311707,0.9903252,0.000001619134,0.001068629,0.0001726249,0.001065014,0.00005105437,0.00001083136,0.007291888],"genre_scores_gemma":[0.003222782,0.994945,0.00009672782,0.0007017512,0.0002566067,0.0006161589,0.00008797635,0.00002353955,0.00004943451],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9848684,"threshold_uncertainty_score":0.4212531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5159406172064454,"score_gpt":0.573302452687648,"score_spread":0.05736183548120266,"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."}}