{"id":"W3042089952","doi":"10.1097/tp.0000000000003374","title":"Comparing Donor Heart Assessment Strategies During Ex Situ Heart Perfusion to Better Estimate Posttransplant Cardiac Function","year":2020,"lang":"en","type":"article","venue":"Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Transplantation; Cardiology; Medicine; Preload; Heart transplantation; Perfusion; Internal medicine; Cardiac function curve; Circulatory system; Cardiac output; Cardiac index; Hemodynamics; Heart failure","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002547279,0.0003198039,0.0005834398,0.0001516731,0.0002198939,0.0001046457,0.00007718373,0.0001154635,0.0001090694],"category_scores_gemma":[0.000005145678,0.0002967564,0.0002019381,0.0002706616,0.00003060916,0.0003883549,0.000007666052,0.0003162554,0.0001158704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006728097,"about_ca_system_score_gemma":0.00009474302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001465822,"about_ca_topic_score_gemma":0.00004114943,"domain_scores_codex":[0.9979478,0.0001580537,0.0004940435,0.0005182154,0.000487306,0.0003945791],"domain_scores_gemma":[0.9992098,0.0001092897,0.00006012768,0.0001900132,0.0000821114,0.0003486217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00221159,0.0000553895,0.2004985,0.001326674,0.00007964534,0.00005933706,0.003124709,0.001661596,0.7903759,0.000181398,0.00007063204,0.0003546771],"study_design_scores_gemma":[0.002395575,0.0004734112,0.9379476,0.0003479441,0.0006444487,0.0001115365,0.0003798981,0.0007612107,0.05628015,0.00002534029,0.0003057729,0.0003271198],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.922388,0.00006304248,0.06990921,0.005417124,0.0003290349,0.0007698524,0.00007742558,0.0002843266,0.0007619731],"genre_scores_gemma":[0.9627033,0.0001272175,0.03430835,0.001901339,0.0002928275,0.00003925165,0.0005540096,0.00004617328,0.00002747368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7374491,"threshold_uncertainty_score":0.9999484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04036005659938586,"score_gpt":0.3393416197036001,"score_spread":0.2989815631042143,"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."}}