{"id":"W4285395827","doi":"10.1182/blood.2022015849","title":"Developing a classification of hematologic neoplasms in the era of precision medicine","year":2022,"lang":"en","type":"article","venue":"Blood","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Spinal Cord Injury BC; University of British Columbia","funders":"","keywords":"Context (archaeology); Hematopathology; Mechanism (biology); Precision medicine; Disease; Computer science; Bioinformatics; Medicine; Pathology; Biology; Genetics","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":[0.03668933,0.001216668,0.001942307,0.01355234,0.002151253,0.01163883,0.003655651,0.002989891,0.002223359],"category_scores_gemma":[0.05097716,0.0006031914,0.001906539,0.006298945,0.005153968,0.0119153,0.006116424,0.007833991,0.001886128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006169082,"about_ca_system_score_gemma":0.01271446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005968923,"about_ca_topic_score_gemma":0.004900999,"domain_scores_codex":[0.984265,0.005334944,0.003218982,0.001527541,0.004859471,0.0007941012],"domain_scores_gemma":[0.9525874,0.01096725,0.005442373,0.004181822,0.02420185,0.002619373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001749905,0.0001087727,0.0278274,0.001733784,0.0001959453,0.0006319813,0.001540527,0.002749949,0.001845986,0.1316673,0.1339407,0.6975827],"study_design_scores_gemma":[0.00008545729,0.0003095101,0.02059471,0.006321178,0.000415256,0.003597331,0.003371102,0.01628712,0.001748621,0.3526526,0.5943876,0.0002295789],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02282476,0.09834851,0.5808961,0.2396615,0.01742901,0.001335386,0.001828364,0.002350093,0.03532631],"genre_scores_gemma":[0.09902012,0.05161118,0.8092129,0.02262041,0.008100339,0.0009996323,0.003860212,0.0004420634,0.004133129],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03668933,"threshold_uncertainty_score":0.194034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02213687710880138,"score_gpt":0.2691045259831286,"score_spread":0.2469676488743272,"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."}}