{"id":"W6921218187","doi":"10.6084/m9.figshare.26617834","title":"Additional file 8 of Cytogenetic profile of 1791 adult acute myeloid leukemia in India","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Myeloid leukemia; Leukemia; Statistical analysis; Mutation; Disease","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009947489,0.0005382192,0.0006657693,0.002167212,0.000534462,0.0008575741,0.001071157,0.0005843366,0.7541496],"category_scores_gemma":[0.0168454,0.0002669491,0.0005485998,0.003860874,0.0001514665,0.000788911,0.0006716135,0.0005828592,0.07808513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000809992,"about_ca_system_score_gemma":0.001182547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01006659,"about_ca_topic_score_gemma":0.01344489,"domain_scores_codex":[0.9993815,0.0001050435,0.0001455423,0.0001417398,0.0001341982,0.00009197061],"domain_scores_gemma":[0.9886888,0.006671599,0.001134712,0.0009145104,0.002260886,0.0003294852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003149213,0.00007795607,0.007329999,0.001710807,0.00004828253,0.0001042202,0.00009743449,0.0002757264,0.0001588401,0.000404811,0.9757185,0.01375848],"study_design_scores_gemma":[0.002186477,0.0003757105,0.169352,0.004425156,0.0003067051,0.001199523,0.001234171,0.001172645,0.001335587,0.005723239,0.812539,0.000149709],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0004919464,0.00001914714,0.0001150196,0.00008177348,0.00001550079,0.0000630643,0.9980123,0.0001358677,0.001065319],"genre_scores_gemma":[0.01642977,0.0001728142,0.001725238,0.0004388773,0.00009717284,0.001024656,0.968123,0.0003332134,0.0116552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7541496,"threshold_uncertainty_score":0.3506757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02010875759526436,"score_gpt":0.2834014866868606,"score_spread":0.2632927290915962,"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."}}