{"id":"W3010934160","doi":"10.12927/hcpol.2020.26127","title":"First Ready, First to Go: Ethical Priority-Setting of Allogeneic Stem Cell Transplant at a Major Cancer Centre","year":2020,"lang":"en","type":"article","venue":"Healthcare policy","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; McGill University; Toronto Western Hospital; Princess Margaret Cancer Centre","funders":"","keywords":"Transplantation; Stem cell; Process (computing); Scarcity; Medicine; Emerging technologies; Engineering ethics; Business; Computer science; Engineering; Internal medicine; Biology; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002613426,0.0001784013,0.0004360758,0.00009218141,0.0001789647,0.000006859701,0.0001136177,0.0006436283,0.0001064196],"category_scores_gemma":[0.00004687097,0.000145852,0.0001060514,0.0004437953,0.0001403532,0.00001497583,0.00007054266,0.0007686387,0.00006764332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003050277,"about_ca_system_score_gemma":0.0007816676,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009787604,"about_ca_topic_score_gemma":0.01253854,"domain_scores_codex":[0.9980191,0.00009479665,0.000513238,0.0003768639,0.0005333524,0.0004626654],"domain_scores_gemma":[0.9983296,0.0001293626,0.0001296785,0.0002263012,0.000170259,0.00101475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006195911,0.001028926,0.2416705,0.1116926,0.0005442282,0.000496549,0.3717855,0.0003196095,0.03559806,0.05123673,0.05071648,0.1287149],"study_design_scores_gemma":[0.007035722,0.002148584,0.226342,0.005497176,0.0003774949,0.0001205885,0.001161901,0.004773196,0.01507905,0.0003878334,0.7360121,0.001064357],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1746278,0.0009007782,0.00006342978,0.8232522,0.0001127938,0.0005701994,0.0002434877,0.00005540238,0.0001739035],"genre_scores_gemma":[0.9652633,0.0008487792,0.0003243647,0.03227505,0.0008134791,0.00001884655,0.000063402,0.00003290074,0.00035986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7909771,"threshold_uncertainty_score":0.9968063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04305659784521713,"score_gpt":0.3477055410961659,"score_spread":0.3046489432509488,"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."}}