{"id":"W4280569962","doi":"10.1002/ajh.26587","title":"Optical genome mapping for structural variation analysis in hematologic malignancies","year":2022,"lang":"en","type":"article","venue":"American Journal of Hematology","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Fluorescence in situ hybridization; Karyotype; Chromosomal translocation; Biology; Copy-number variation; Comparative genomic hybridization; Computational biology; Microarray; Myeloid leukemia; Structural variation; Cytogenetics; DNA microarray; Genome; Breakpoint; Genetics; Chromosome; Cancer research; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000775083,0.0001199707,0.001060169,0.001132946,0.0001000404,0.000008727241,0.0002247479,0.00003718082,0.0002472264],"category_scores_gemma":[0.00036339,0.0001009055,0.0002752483,0.001487879,0.0002066204,0.00005848453,0.0001053851,0.000473699,0.000001891148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004674376,"about_ca_system_score_gemma":0.0003477533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003471663,"about_ca_topic_score_gemma":0.000005502877,"domain_scores_codex":[0.9981902,0.0001988292,0.0007070117,0.0001917994,0.000329868,0.0003822634],"domain_scores_gemma":[0.9985625,0.0004262091,0.0005196986,0.0001782996,0.0001936973,0.0001195937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008151783,0.0007966392,0.8046728,0.0005000009,0.008812588,0.009190287,0.01087192,0.01266383,0.09057641,0.04267725,0.001117528,0.009968893],"study_design_scores_gemma":[0.01161548,0.0107189,0.8158094,0.00007172891,0.002516924,0.08442552,0.03180176,0.02927764,0.002105216,0.00743474,0.003367233,0.000855433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824641,0.0003246915,0.01304771,0.003786953,0.00007876204,0.0002197804,0.000007728405,0.000009295073,0.00006101268],"genre_scores_gemma":[0.9766939,0.00002053473,0.02272524,0.0004321212,0.00004460907,0.00002986546,0.00001388227,0.00001357824,0.00002624803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0884712,"threshold_uncertainty_score":0.4114805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01910487655757238,"score_gpt":0.3051088845966437,"score_spread":0.2860040080390713,"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."}}