{"id":"W4403203497","doi":"10.1016/j.cjca.2024.08.157","title":"MOVING BEYOND THE PERFECT DONOR: QUALITY IMPROVEMENT (QI) INITIATIVE TO OPTIMIZE DONOR UTILIZATION","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Medicine; Quality management; Quality (philosophy); Operations management; Intensive care medicine; Process management; Risk analysis (engineering)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.02740816,0.0007329688,0.000643363,0.001303219,0.003467924,0.008482271,0.002909094,0.003097888,0.01117215],"category_scores_gemma":[0.03481904,0.0003134619,0.001062812,0.00171441,0.002378265,0.003108463,0.01077835,0.009264582,0.001806957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009166642,"about_ca_system_score_gemma":0.09493526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01405445,"about_ca_topic_score_gemma":0.03160377,"domain_scores_codex":[0.9802546,0.009095133,0.001171813,0.001252691,0.005418582,0.002807211],"domain_scores_gemma":[0.9353621,0.007159396,0.004807551,0.002472606,0.01215789,0.03804038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002328859,0.001396983,0.03310795,0.001063965,0.0001875608,0.0003561587,0.001750131,0.001629646,0.001396065,0.05956694,0.4099168,0.489395],"study_design_scores_gemma":[0.0009209081,0.002265478,0.09654298,0.005289713,0.0004539957,0.002371553,0.007711618,0.008492364,0.005806783,0.1559957,0.7138077,0.0003411984],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03942166,0.01146819,0.04849823,0.8304816,0.01171298,0.0005986788,0.0009082882,0.00110132,0.05580904],"genre_scores_gemma":[0.5655797,0.02113556,0.131053,0.2482277,0.0102874,0.0006520396,0.002221071,0.0006774238,0.02016616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02740816,"threshold_uncertainty_score":0.14495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04434099350481344,"score_gpt":0.3117837441348408,"score_spread":0.2674427506300274,"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."}}