{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001757138,0.000507346,0.0006322621,0.00024524,0.00004902122,0.00003071978,0.0002508298,0.0009238336,0.0001162067],"category_scores_gemma":[0.00002298788,0.0004342601,0.00008753185,0.0002486713,0.00005752459,0.00005787091,0.00008446017,0.0008569693,0.00003238828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001712324,"about_ca_system_score_gemma":0.00001165523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007237072,"about_ca_topic_score_gemma":0.00007652026,"domain_scores_codex":[0.9976924,0.0001231728,0.0005919182,0.0006902886,0.0002967776,0.0006054548],"domain_scores_gemma":[0.9992567,0.00009744894,0.0001397792,0.00038295,0.00003644151,0.00008664466],"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":[0.0002348377,0.0007950079,0.0203449,0.009476724,0.0015079,0.1290347,0.000800789,0.003694725,0.01421911,0.000262025,0.7491469,0.07048239],"study_design_scores_gemma":[0.000459037,0.0008250954,0.01454999,0.000358724,0.0001775235,0.0009055802,0.00001595274,0.009771209,0.0004692405,0.0008100228,0.9703372,0.001320469],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802225,0.002090704,0.00002987871,0.004483557,0.001040459,0.001175983,0.0000193348,0.0006760333,0.01026159],"genre_scores_gemma":[0.9105946,0.00052419,0.003789029,0.07744239,0.003872695,0.0006074189,0.0007656654,0.0003955923,0.00200837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2211902,"threshold_uncertainty_score":0.9998109,"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."}}