{"id":"W2409094776","doi":"10.1097/ccm.0000000000001574","title":"Correction to the Calculation of the Shock Index","year":2016,"lang":"en","type":"letter","venue":"Critical Care Medicine","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Medicine; Shock (circulatory); Index (typography); Internal medicine; Computer science; Programming language","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":[0.006157554,0.001792684,0.001335177,0.002741629,0.001728242,0.003185017,0.002455869,0.005518766,0.02072644],"category_scores_gemma":[0.1445002,0.0008502164,0.002254863,0.001673888,0.001822058,0.001359088,0.001581989,0.01265691,0.02006274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003573043,"about_ca_system_score_gemma":0.002714696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007612865,"about_ca_topic_score_gemma":0.006447415,"domain_scores_codex":[0.9878693,0.003848196,0.002746156,0.001155572,0.003598199,0.0007824916],"domain_scores_gemma":[0.9446889,0.02112421,0.003514158,0.004490223,0.02466843,0.001514029],"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":[0.0001210126,0.00001594557,0.0006422371,0.0001822436,0.00003784472,0.001020101,0.0001005858,0.0001173792,0.0001790942,0.002329643,0.9766451,0.01860875],"study_design_scores_gemma":[0.0001396988,0.00005273397,0.003386665,0.0008678643,0.00008548026,0.00578832,0.0001438293,0.001250593,0.001323336,0.005303659,0.981572,0.00008569092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001350714,0.002553312,0.004454774,0.1469979,0.8368741,0.0001009596,0.001381321,0.0006671488,0.00561981],"genre_scores_gemma":[0.07156221,0.00692019,0.02871176,0.2104768,0.5534305,0.0008115779,0.003482459,0.00231909,0.1222854],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02072644,"threshold_uncertainty_score":0.06933683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05905078357621985,"score_gpt":0.3655137214608774,"score_spread":0.3064629378846576,"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."}}