{"id":"W4200019298","doi":"10.1182/bloodadvances.2021005741","title":"A clinical laboratory–developed LSC17 stemness score assay for rapid risk assessment of patients with acute myeloid leukemia","year":2021,"lang":"en","type":"article","venue":"Blood Advances","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; Princess Margaret Cancer Centre","funders":"Terry Fox Foundation; Ontario Genomics Institute; Ontario Institute for Cancer Research; Government of Canada; Canadian Institutes of Health Research; China Scholarship Council; Ontario Genomics; Genome Canada; Mayo Clinic","keywords":"Myeloid leukemia; Medicine; Oncology; Internal medicine; Cohort; Risk stratification","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001192142,0.000326352,0.001009329,0.0001267585,0.0001598098,0.00003611907,0.0002832266,0.0001939484,0.00009088473],"category_scores_gemma":[0.001041889,0.0002427569,0.0001869286,0.0007536028,0.000277212,0.0003428386,0.000161928,0.0006029001,0.000006584648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002603315,"about_ca_system_score_gemma":0.005282107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008262623,"about_ca_topic_score_gemma":0.00003719375,"domain_scores_codex":[0.9965517,0.000376998,0.0008733038,0.0007585212,0.0009096056,0.0005298744],"domain_scores_gemma":[0.9952614,0.0008477489,0.0005319813,0.0007441755,0.002306814,0.0003078668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001281522,0.0010781,0.9632221,0.0005846683,0.001573449,0.0001952569,0.00006976782,0.00002140072,0.0009302288,0.0001635796,0.0008345873,0.03004528],"study_design_scores_gemma":[0.02738268,0.003020802,0.8959274,0.0005880575,0.00170845,0.00002466316,0.0003660299,0.0002746658,0.01894641,0.0001027036,0.0510988,0.0005593451],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904396,0.001383555,0.003917562,0.0002614713,0.0003072397,0.001532107,0.0008357702,0.00007685147,0.001245824],"genre_scores_gemma":[0.8396268,0.003569017,0.153148,0.0007072883,0.000462989,0.000435035,0.0007740236,0.0001414265,0.00113543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1508128,"threshold_uncertainty_score":0.989934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02359341625695257,"score_gpt":0.3544770853825217,"score_spread":0.3308836691255692,"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."}}