{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001735221,0.000191308,0.0005560422,0.0001324799,0.0002369463,0.00001944286,0.00008147364,0.0001270346,0.00009640658],"category_scores_gemma":[0.00008697535,0.0001830432,0.0002125015,0.0002329142,0.00007433102,0.0001253895,0.000006208008,0.0004850615,0.000002358081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000465279,"about_ca_system_score_gemma":0.00009214703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005934377,"about_ca_topic_score_gemma":0.00008728794,"domain_scores_codex":[0.997516,0.0003926205,0.0009590148,0.0004925066,0.0003237549,0.0003160845],"domain_scores_gemma":[0.9971223,0.002396232,0.00008798022,0.0001695778,0.00003758753,0.0001863213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007767966,0.0004321754,0.9727842,0.0008657032,0.00009150762,0.0000896561,0.003638885,0.000182742,0.01090951,0.0002796767,0.00009905991,0.002858869],"study_design_scores_gemma":[0.009978738,0.0007978202,0.9840524,0.0002618309,0.0003389819,0.0002070351,0.000322391,0.0006582986,0.000654417,0.001255205,0.001243587,0.0002292766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735973,0.00008837283,0.02136228,0.002366103,0.0006689724,0.001103646,0.0006097834,0.0000884818,0.0001150087],"genre_scores_gemma":[0.9154348,0.0009107948,0.08077305,0.001777514,0.0001386298,0.000238535,0.0005461264,0.00003828933,0.0001423169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05941076,"threshold_uncertainty_score":0.7464287,"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."}}