{"id":"W2978893099","doi":"10.23736/s0375-9393.17.12437-5","title":"Right patient selection and management in veno-venous extracorporeal carbon dioxide removal","year":2018,"lang":"en","type":"letter","venue":"Minerva Anestesiologica","topic":"Mechanical Circulatory Support Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Extracorporeal; Selection (genetic algorithm); Intensive care medicine; Carbon dioxide; Co2 removal; Surgery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005551888,0.0005490478,0.000779781,0.001091945,0.00242704,0.001619066,0.0007241758,0.008434601,0.003712533],"category_scores_gemma":[0.007164776,0.0002706899,0.0009322481,0.0004043296,0.001106872,0.001470523,0.0008840549,0.007348873,0.00111894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001340163,"about_ca_system_score_gemma":0.001330191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001081447,"about_ca_topic_score_gemma":0.0022303,"domain_scores_codex":[0.9993125,0.0001434165,0.000116485,0.0001138842,0.000147223,0.0001663965],"domain_scores_gemma":[0.9984119,0.0007067855,0.0002128601,0.00006461334,0.0001312457,0.0004725809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001573379,0.000189927,0.02468525,0.0001552213,0.00003781497,0.8926693,0.0004264404,0.0003968041,0.001359581,0.003214384,0.04896087,0.02774706],"study_design_scores_gemma":[0.00007210559,0.000180072,0.01169793,0.0004583277,0.00005714138,0.9315208,0.001191337,0.001761601,0.001095217,0.008721483,0.04318332,0.00006074001],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.2309233,0.02523405,0.01057938,0.6229381,0.0188601,0.0002964647,0.0003948577,0.0003034532,0.09047037],"genre_scores_gemma":[0.7916995,0.01010202,0.008810302,0.1056971,0.06864864,0.0002001417,0.0003163163,0.0001431806,0.01438286],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.008434601,"threshold_uncertainty_score":0.01241964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01360677796200945,"score_gpt":0.1979123111742315,"score_spread":0.184305533212222,"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."}}