{"id":"W2337260374","doi":"10.1111/bjh.14076","title":"Economic impact of genomic diagnostics for intermediate‐risk acute myeloid leukaemia","year":2016,"lang":"en","type":"article","venue":"British Journal of Haematology","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Terry Fox Research Institute; Canadian Centre for Applied Research in Cancer Control; Vancouver General Hospital; Canada's Michael Smith Genome Sciences Centre; University of British Columbia; Simon Fraser University; BC Cancer Agency","funders":"Canadian Cancer Society; European Society for Medical Oncology; Genome British Columbia; Canadian Centre for Applied Research in Cancer Control","keywords":"Transplantation; Medicine; Quality of life (healthcare); Myeloid leukaemia; Oncology; Cost effectiveness; Cost-effectiveness analysis; Intensive care medicine; Internal medicine; Risk analysis (engineering)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003412322,0.0006578032,0.0005288019,0.0008136542,0.000343389,0.001837728,0.0006420473,0.0007706445,0.003194018],"category_scores_gemma":[0.01754775,0.0002389656,0.0009633147,0.0009366687,0.0006801274,0.001130691,0.0009340583,0.001212457,0.0001480616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008588164,"about_ca_system_score_gemma":0.006269965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06443494,"about_ca_topic_score_gemma":0.0596917,"domain_scores_codex":[0.9973121,0.001921368,0.00006485029,0.0001050344,0.0003553284,0.0002414108],"domain_scores_gemma":[0.9921246,0.006707722,0.0004327482,0.0001028915,0.0003145121,0.0003175158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004663326,0.0006699332,0.04895196,0.000678814,0.0008667223,0.0005249542,0.0001223993,0.7724026,0.001167209,0.02601667,0.005011165,0.1389242],"study_design_scores_gemma":[0.001066048,0.002580381,0.07008903,0.0005772616,0.002121585,0.0008256427,0.001079212,0.8655094,0.001815568,0.04270463,0.01144677,0.0001845015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9375635,0.01052804,0.01559076,0.01021614,0.000194468,0.0004840606,0.002578381,0.0001016009,0.02274297],"genre_scores_gemma":[0.9949244,0.001490277,0.002381221,0.0002902806,0.0000151881,0.00003322614,0.0003425734,0.000007837314,0.0005149975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06443494,"threshold_uncertainty_score":0.1281198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01220701428138869,"score_gpt":0.310135410717287,"score_spread":0.2979283964358983,"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."}}