{"id":"W2912800297","doi":"10.1002/ejhf.1437","title":"Bio-Adrenomedullin as a Marker of Congestion in Patients with New-Onset and Worsening Heart Failure","year":2019,"lang":"en","type":"article","venue":"European Journal of Heart Failure","topic":"Neuropeptides and Animal Physiology","field":"Neuroscience","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"Surgical Specialties (Canada)","funders":"European Commission; National Institute for Health and Care Research","keywords":"Medicine; Adrenomedullin; Internal medicine; Heart failure; Hazard ratio; Cardiology; Confidence interval; Cohort; Body mass index; Endocrinology; Receptor","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":[0.0002997353,0.0001733473,0.0003536812,0.0001970192,0.00004291024,0.00004039917,0.0001658359,0.00002806178,0.0001384111],"category_scores_gemma":[0.0001525052,0.0001298573,0.00006692108,0.0002504193,0.0001405751,0.0002692387,0.00008117438,0.0004332633,0.0001004145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001173186,"about_ca_system_score_gemma":0.00006201553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005690929,"about_ca_topic_score_gemma":0.000004195685,"domain_scores_codex":[0.9982973,0.0004655039,0.0004497186,0.0002696429,0.0002679425,0.000249947],"domain_scores_gemma":[0.9991684,0.0001238138,0.0002982523,0.0001664944,0.00008447507,0.0001585782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001259642,0.0001471711,0.6084349,0.00003595399,0.000011325,0.00006329842,0.0002053831,0.0001695964,0.3797372,0.0000849987,0.009386224,0.0004643157],"study_design_scores_gemma":[0.002948092,0.003489928,0.9234723,0.0004182773,0.00001331094,0.0003501044,0.0001053247,0.000007684669,0.00789454,0.00003969059,0.06104533,0.0002154351],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978083,0.00002912714,0.000003339149,0.001783202,0.00009709966,0.0001604768,0.000005543686,0.000008818987,0.0001040941],"genre_scores_gemma":[0.9977475,0.000007629492,0.001430233,0.0005695669,0.0000669203,1.823999e-7,0.000001099047,0.00003464414,0.0001421561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3718427,"threshold_uncertainty_score":0.5295428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008575220302828462,"score_gpt":0.2096775200501163,"score_spread":0.2011022997472879,"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."}}