{"id":"W4405316157","doi":"10.1016/j.cjca.2024.11.034","title":"The Metabolically Resistant Apelin-17 Analogue LIT01-196 Reduces Cardiac Dysfunction and Remodelling in Heart Failure After Myocardial Infarction","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Apelin-related biomedical research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Sorbonne Université; Fondation du Collège de France; Université Paris-Saclay; Centre National de la Recherche Scientifique; Fédération Française de Cardiologie; Collège de France; Fondation pour la Recherche Médicale; Institut National de la Santé et de la Recherche Médicale","keywords":"Medicine; Apelin; Heart failure; Cardiology; Myocardial infarction; Internal medicine; Ventricular remodeling; Cardiac dysfunction; Receptor","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001460111,0.000331327,0.0004385116,0.0002524834,0.00009341536,0.0002181112,0.0002436623,0.0002785645,0.001474519],"category_scores_gemma":[0.0001370309,0.0001242845,0.0002346342,0.0001184832,0.0001741894,0.000189525,0.0001760179,0.0007962885,0.0002508924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009005735,"about_ca_system_score_gemma":0.0001100098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001074016,"about_ca_topic_score_gemma":0.0001653879,"domain_scores_codex":[0.9999487,0.000009503465,0.000006362339,0.000007004756,0.00001157541,0.00001686831],"domain_scores_gemma":[0.9998822,0.00001328266,0.00004230595,0.000006842062,0.000007325398,0.00004805949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006644406,0.0006817026,0.0005598943,0.0001947755,0.00004279078,0.0001084101,0.00001765928,0.0001318355,0.9782922,0.00005324977,0.0001311113,0.0131419],"study_design_scores_gemma":[0.003767796,0.08499353,0.03906373,0.00009359768,0.0004467907,0.001404407,0.0001267266,0.001483183,0.8622665,0.0001469766,0.006169646,0.00003714093],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953495,0.002975677,0.0006161517,0.00007271208,0.00003757342,0.00003526913,0.0001779842,0.00005139705,0.0006837189],"genre_scores_gemma":[0.9942159,0.002361573,0.001179014,0.0001329477,0.00005017907,0.00008194356,0.0004626466,0.00001443006,0.001501487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001474519,"threshold_uncertainty_score":0.004932821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194198301605301,"score_gpt":0.2635512754370085,"score_spread":0.2516092924209555,"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."}}