{"id":"W7008141846","doi":"","title":"Avaliação da acurácia da ressonância magnética cardiovascular como método diagnóstico precoce na rejeição do enxerto nos receptores de transplante cardíaco","year":2022,"lang":"pt","type":"dissertation","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Heart transplantation; Gold standard (test); Endomyocardial biopsy; Heart failure; Complication; Cardiac function curve; Heart disease; Magnetic resonance imaging","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003212501,0.0003146311,0.0007829969,0.00109617,0.0002392188,0.0009614959,0.0003430033,0.0004224374,0.002694045],"category_scores_gemma":[0.007341579,0.0001597377,0.0006268164,0.001008619,0.0002976283,0.0007514567,0.0002381077,0.0004380542,0.0003992774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003466235,"about_ca_system_score_gemma":0.0004300976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00135434,"about_ca_topic_score_gemma":0.002329475,"domain_scores_codex":[0.9990013,0.0003663933,0.0001207759,0.0001784577,0.0002270374,0.0001060731],"domain_scores_gemma":[0.9959773,0.001617852,0.001370694,0.0001309045,0.0006362019,0.0002670271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002868842,0.0001466455,0.96442,0.0003615419,0.0003057531,0.0001066734,0.0002397355,0.0001526426,0.000712971,0.00007099233,0.000435962,0.03017834],"study_design_scores_gemma":[0.0001985619,0.00263935,0.9895387,0.0002860126,0.001102381,0.0008729474,0.0005745083,0.001545124,0.0007369158,0.0001904386,0.002285605,0.00002949151],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830514,0.01097579,0.001266117,0.0004640234,0.00008061358,0.0001553205,0.0007549527,0.00004724069,0.003204473],"genre_scores_gemma":[0.9961597,0.001790779,0.000827481,0.00006719205,0.0001273681,0.00007855254,0.000320522,0.000007128337,0.0006213149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003212501,"threshold_uncertainty_score":0.01698953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03108394659275035,"score_gpt":0.2931734016340138,"score_spread":0.2620894550412635,"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."}}