{"id":"W4308490528","doi":"10.1016/j.jacadv.2022.100120","title":"Advances in the Staging and Phenotyping of Cardiogenic Shock","year":2022,"lang":"en","type":"article","venue":"JACC Advances","topic":"Mechanical Circulatory Support Devices","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ted Rogers Centre for Heart Research; University of Toronto","funders":"","keywords":"Cardiogenic shock; Risk stratification; Intensive care medicine; Medicine; Context (archaeology); Staging system; Septic shock; Concomitant; Hemodynamics; Cardiology; Internal medicine; Myocardial infarction; Sepsis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003079346,0.00009246438,0.0001781298,0.00006200963,0.00007574059,0.000009584328,0.0002064278,0.00001355695,0.00006288303],"category_scores_gemma":[0.00001826931,0.00007763458,0.00003746732,0.0002476843,0.00002293239,0.0003108486,0.00005800379,0.0001632826,0.00000104261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002821988,"about_ca_system_score_gemma":0.000007313518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003422283,"about_ca_topic_score_gemma":0.00001552618,"domain_scores_codex":[0.9992001,0.00005928725,0.0002102532,0.0001428986,0.0002184276,0.000169011],"domain_scores_gemma":[0.9996245,0.000133516,0.00004133437,0.0001703191,0.000008046717,0.00002228859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003538019,0.00005046335,0.1163528,0.0008832916,0.00006118801,0.00004817572,0.004419038,0.4426712,0.00285886,0.006274093,0.0000794557,0.4262661],"study_design_scores_gemma":[0.002140455,0.0002275428,0.03160527,0.0002024534,0.0001458561,0.0001206969,0.0426999,0.1436329,0.005637678,0.04466248,0.7272073,0.001717441],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8341058,0.1512683,0.003773336,0.0000754179,0.0005790725,0.0003878536,0.00002809348,0.0001457083,0.009636386],"genre_scores_gemma":[0.9990366,0.0005789442,0.0002257769,0.00005660383,0.00003242539,0.00004937936,0.000002562148,0.00001325626,0.000004485723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7271279,"threshold_uncertainty_score":0.3165846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007728536367729763,"score_gpt":0.2239876470509402,"score_spread":0.2162591106832104,"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."}}