{"id":"W4308364989","doi":"10.26508/lsa.202201543","title":"Myeloma immunoglobulin rearrangement and translocation detection through targeted capture sequencing","year":2022,"lang":"en","type":"article","venue":"Life Science Alliance","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; University of Calgary; University Health Network; University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Ontario Institute for Cancer Research; Princess Margaret Cancer Foundation","keywords":"Somatic hypermutation; Biology; Chromosomal translocation; Multiple myeloma; Immunoglobulin heavy chain; Antibody; Immunoglobulin gene; Gene rearrangement; Concordance; Bone marrow; DNA sequencing; Immunoglobulin light chain; Molecular biology; Gene; Cancer research; Genetics; B cell; Immunology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004718856,0.000432866,0.0003839991,0.0008518922,0.0003111496,0.0005718237,0.0005157192,0.0007826113,0.001134835],"category_scores_gemma":[0.0006835525,0.0002310269,0.0004167518,0.0006678257,0.0002599214,0.0001510743,0.0004631427,0.0004936264,0.000597871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004100398,"about_ca_system_score_gemma":0.0003453747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001716636,"about_ca_topic_score_gemma":0.005874702,"domain_scores_codex":[0.9992101,0.00007971868,0.00002677945,0.0003382172,0.0002665546,0.00007854191],"domain_scores_gemma":[0.9996992,0.00009303648,0.00005404742,0.00003952139,0.00008952651,0.00002462806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000741863,0.00001975781,0.003505218,0.00008303259,0.00004900932,0.0001309508,0.00006216493,0.0005907257,0.9809436,0.0002773891,0.0005005894,0.01376332],"study_design_scores_gemma":[0.00002862288,0.0002858541,0.04101826,0.00003136793,0.0001475872,0.00127384,0.0001096225,0.01695932,0.9217104,0.0008243768,0.01757657,0.00003410601],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6718902,0.002771642,0.3005898,0.000333664,0.00009355773,0.0005152962,0.01300597,0.002914981,0.00788489],"genre_scores_gemma":[0.7869034,0.001395972,0.1883449,0.001111703,0.00003957164,0.0004714899,0.01486995,0.0003165962,0.006546349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001716636,"threshold_uncertainty_score":0.003796399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03509366537565328,"score_gpt":0.3035197939090226,"score_spread":0.2684261285333693,"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."}}