{"id":"W4388501085","doi":"10.1186/s13054-023-04717-x","title":"Bayesian methods: a potential path forward for sepsis trials","year":2023,"lang":"en","type":"article","venue":"Critical Care","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tornado Spectral Systems (Canada); Iridian Spectral Technologies (Canada); Public Health Ontario; University of Toronto","funders":"","keywords":"Medicine; Septic shock; Bayesian probability; Statistical power; Randomized controlled trial; Sepsis; Intensive care medicine; Clinical trial; Shock (circulatory); Statistics; Emergency medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2470543,0.002520413,0.00508476,0.004028353,0.0009632549,0.006072222,0.004833512,0.007405555,0.01354505],"category_scores_gemma":[0.4185402,0.002195019,0.003816404,0.003341075,0.005418587,0.007677244,0.004882317,0.01255702,0.00215656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003379297,"about_ca_system_score_gemma":0.01010447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004925642,"about_ca_topic_score_gemma":0.004905741,"domain_scores_codex":[0.757283,0.2315207,0.002217191,0.002258645,0.006136004,0.0005844447],"domain_scores_gemma":[0.4429702,0.5259426,0.007039976,0.01163327,0.009563399,0.002850534],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004179693,0.0006476442,0.006175219,0.004263805,0.005050055,0.0002917377,0.0008052003,0.04486331,0.0004382339,0.3440065,0.0490753,0.5402033],"study_design_scores_gemma":[0.002681474,0.001091312,0.001113128,0.003685672,0.0005799258,0.0001560099,0.0001687854,0.06960118,0.0002944125,0.865629,0.05477846,0.0002205443],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00310923,0.04690025,0.8330506,0.1012783,0.003228755,0.001681715,0.0006666858,0.001033667,0.009050805],"genre_scores_gemma":[0.0970658,0.03161514,0.8168538,0.03737099,0.006647598,0.006586001,0.0005834046,0.0005202651,0.002757044],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7529457,"threshold_uncertainty_score":0.9285161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2405182861161941,"score_gpt":0.5232460181194676,"score_spread":0.2827277320032735,"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."}}