{"id":"W4386705477","doi":"10.1002/ejhf.3031","title":"Heart Failure Patients with Improved Ejection Fraction: Insights from the MECKI Score Database","year":2023,"lang":"en","type":"article","venue":"European Journal of Heart Failure","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Surgical Specialties (Canada)","funders":"Ministero della Salute; AstraZeneca","keywords":"Ejection fraction; Medicine; Heart failure; Cardiology; Internal medicine; Clinical endpoint; Natriuretic peptide; Renal function; Heart transplantation; Transplantation; Kidney disease; Database; Clinical trial","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":[0.0005125861,0.0002154974,0.0003972214,0.0001890376,0.0002794827,0.00007646112,0.0001194259,0.00004844369,0.0002160496],"category_scores_gemma":[0.0001581154,0.0001174137,0.0003837101,0.0005599646,0.00007137326,0.0003359847,0.00005615556,0.0008446225,0.0003589313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006234013,"about_ca_system_score_gemma":0.0001058594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003035908,"about_ca_topic_score_gemma":0.00003715926,"domain_scores_codex":[0.9979342,0.0004655466,0.0004291161,0.0002513758,0.0007045731,0.0002152037],"domain_scores_gemma":[0.9985011,0.00009734291,0.0002181512,0.0005035754,0.0004372559,0.0002426068],"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":[0.0008521347,0.0001576814,0.3663838,0.00002620166,0.0007036963,0.0002267428,0.0003049517,0.00007176433,0.00740391,0.000004658143,0.623002,0.0008624591],"study_design_scores_gemma":[0.002280599,0.0004554676,0.4270058,0.0001902294,0.0001903234,0.000161868,0.0006741111,0.00001930525,0.000477605,0.000002029278,0.5684386,0.000104088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854832,0.0002147853,0.0006123203,0.01212109,0.001005611,0.0003335871,0.00002915487,0.0001019763,0.00009825509],"genre_scores_gemma":[0.9948799,0.00003738026,0.001949776,0.001060768,0.00165825,0.000001185232,0.0001637698,0.0000711731,0.0001777992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06062196,"threshold_uncertainty_score":0.4787993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01290832265545017,"score_gpt":0.2205689909772071,"score_spread":0.2076606683217569,"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."}}