{"id":"W4283755005","doi":"10.1111/ctr.14744","title":"Predicted heart mass for size matching in obese heart transplant donors and recipients","year":2022,"lang":"en","type":"article","venue":"Clinical Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Toronto General Hospital; Ted Rogers Centre for Heart Research; University Health Network","funders":"","keywords":"Medicine; Body mass index; Hazard ratio; Proportional hazards model; Internal medicine; Obesity; Retrospective cohort study; Population; Cohort; Propensity score matching; Confidence interval; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002999189,0.0002415013,0.0002885379,0.0005532312,0.0001778584,0.0007427372,0.0004223444,0.0003032821,0.001561008],"category_scores_gemma":[0.006217841,0.0002499655,0.0005074092,0.0004520301,0.0002983106,0.0005612845,0.000552787,0.0004675629,0.0002061756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001992964,"about_ca_system_score_gemma":0.0002634158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006766536,"about_ca_topic_score_gemma":0.0006284838,"domain_scores_codex":[0.999153,0.0004117473,0.0000731205,0.0001564621,0.0001303891,0.00007520174],"domain_scores_gemma":[0.9976559,0.0007671029,0.0009813819,0.0002768637,0.00009607647,0.0002225936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006616418,0.00002642228,0.9972808,0.000006515676,0.00005401069,0.00004072468,0.00002867674,0.0001037339,0.000151968,0.00004493845,0.00006539727,0.001535182],"study_design_scores_gemma":[0.0000687569,0.0005433685,0.9920106,0.00002410925,0.0001412946,0.0005371927,0.0002252088,0.005286874,0.0004675534,0.0003144672,0.0003691922,0.00001141126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992993,0.0001277662,0.0002893002,0.00002955033,0.00001109606,0.000006413975,0.0001016826,0.00000219603,0.0001326653],"genre_scores_gemma":[0.9996881,0.00002486318,0.0001003371,0.00001503359,0.00001410536,0.000005794582,0.00009582947,0.000001561546,0.00005433022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002999189,"threshold_uncertainty_score":0.01586139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06344868667450011,"score_gpt":0.4072677498085141,"score_spread":0.343819063134014,"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."}}