{"id":"W2806714392","doi":"10.1016/j.atherosclerosissup.2018.04.310","title":"Blood Biomarkers and Electrical Monitoring in Advanced Heart Failure","year":2018,"lang":"en","type":"article","venue":"Atherosclerosis Supplements","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Prevention of Organ Failure; University of British Columbia","funders":"","keywords":"Heart failure; Medicine; Intensive care medicine; Cardiology","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":[0.00009513027,0.0001881312,0.000182818,0.0001536812,0.00007255209,0.00003700731,0.0001198565,0.00008054642,0.00006579454],"category_scores_gemma":[0.000009896175,0.0001786793,0.00004788503,0.0006903198,0.00005428492,0.0001411778,0.00003402407,0.0001402402,0.00001828559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003414453,"about_ca_system_score_gemma":0.000005356075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003461412,"about_ca_topic_score_gemma":0.00005125677,"domain_scores_codex":[0.9988009,0.00002153499,0.0002302245,0.000261934,0.0001703743,0.0005149724],"domain_scores_gemma":[0.9996709,0.00003176631,0.00001807454,0.0001524276,0.00002146067,0.0001053384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009477208,0.0000537534,0.6237214,0.00001122466,0.00004704387,5.565948e-7,0.00006777816,0.000003336907,0.3702852,0.0000104236,0.0009223878,0.004867448],"study_design_scores_gemma":[0.002198743,0.0005240596,0.6051092,0.00009539918,0.00003379976,0.000004167904,0.00005622808,0.0007502451,0.3840599,0.0001401963,0.006547403,0.0004807479],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989559,0.0003449769,0.00004481287,0.0000844883,0.0001248671,0.0001898866,0.00001137701,0.0001545407,0.00008915574],"genre_scores_gemma":[0.9955791,0.0002607928,0.003919269,0.00003890082,0.0001078729,0.00004806347,0.000004945692,0.00003185564,0.000009172591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01861221,"threshold_uncertainty_score":0.7286332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007707503944553227,"score_gpt":0.2221339880031801,"score_spread":0.2144264840586269,"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."}}