{"id":"W4298618794","doi":"10.1016/j.cardfail.2022.08.009","title":"Interrupted Time Series Analysis of Donor Heart Use Before and After the 2018 UNOS Heart Allocation Policy Change","year":2022,"lang":"en","type":"article","venue":"Journal of Cardiac Failure","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; U.S. Department of Veterans Affairs","keywords":"Medicine; United Network for Organ Sharing; Quarter (Canadian coin); Heart transplants; Organ donation; Demography; Heart transplantation; Intensive care medicine; Cardiology; Surgery; Transplantation","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":[0.003508822,0.0003827673,0.0006913023,0.0009086593,0.0003012102,0.001354364,0.0009842287,0.001229662,0.003880629],"category_scores_gemma":[0.01507145,0.000324676,0.001243609,0.002091068,0.0003624879,0.0009822948,0.0008981926,0.002652487,0.0007278114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001062121,"about_ca_system_score_gemma":0.0009604214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03067226,"about_ca_topic_score_gemma":0.01719167,"domain_scores_codex":[0.9971517,0.0009566151,0.000329952,0.0004942146,0.0003620922,0.000705495],"domain_scores_gemma":[0.9878533,0.005212784,0.004570525,0.0007713865,0.000823501,0.0007685235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004699919,0.0004642694,0.975401,0.0001475785,0.001479581,0.000230701,0.0004251373,0.004407972,0.0002576121,0.001275497,0.004670565,0.006540135],"study_design_scores_gemma":[0.0001016279,0.000660729,0.9809667,0.00005139041,0.0005297095,0.0001615634,0.0009048885,0.01252092,0.0002800762,0.0004861561,0.003296762,0.00003946633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985297,0.0005563767,0.00093114,0.0006330094,0.0001228937,0.00002705758,0.01152945,0.00002882671,0.0008742689],"genre_scores_gemma":[0.9867507,0.0001961252,0.0003137616,0.0001413625,0.00008631645,0.00008092842,0.01087298,0.00001362587,0.001544303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03067226,"threshold_uncertainty_score":0.06098741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01925532369745813,"score_gpt":0.3025997160535045,"score_spread":0.2833443923560464,"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."}}