{"id":"W4226391372","doi":"10.1097/ccm.0000000000005409","title":"The Many Faces of Prediction Modeling in Critical Care*","year":2022,"lang":"en","type":"letter","venue":"Critical Care Medicine","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston Health Sciences Centre; Queen's University","funders":"","keywords":"Medicine; Intensive care 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":[],"consensus_categories":[],"category_scores_codex":[0.04242706,0.0006771281,0.001367155,0.001039673,0.003171808,0.006022728,0.00223788,0.008492503,0.002985048],"category_scores_gemma":[0.1596989,0.0007332891,0.00101171,0.001623567,0.00619348,0.009449286,0.003559878,0.02571152,0.001284871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004380481,"about_ca_system_score_gemma":0.005188691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01050123,"about_ca_topic_score_gemma":0.01317475,"domain_scores_codex":[0.9718748,0.02109486,0.001632477,0.001373948,0.003453031,0.0005708431],"domain_scores_gemma":[0.6629291,0.3079889,0.005088093,0.004839159,0.01426561,0.004889169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002426395,0.0001108269,0.01058402,0.0005566005,0.0002061275,0.001618947,0.00171968,0.007975026,0.0001216785,0.08217282,0.7204098,0.174282],"study_design_scores_gemma":[0.0001204251,0.0001023347,0.003454968,0.002472227,0.00008680812,0.002520722,0.003638384,0.06393271,0.0002336093,0.7025018,0.2207273,0.0002087393],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007729806,0.003248675,0.003770654,0.9895942,0.001580529,0.000005438429,0.00003309993,0.00002340533,0.0009710187],"genre_scores_gemma":[0.2123884,0.04584773,0.04892911,0.5835434,0.1039191,0.0002494142,0.0002961056,0.0002786923,0.004548132],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04242706,"threshold_uncertainty_score":0.2243785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1361007526736537,"score_gpt":0.4016674372145674,"score_spread":0.2655666845409138,"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."}}