{"id":"W2587613230","doi":"10.1182/blood.v128.22.1760.1760","title":"Burkitt Lymphoma Genome Sequencing Project (BLGSP): Introduction","year":2016,"lang":"en","type":"article","venue":"Blood","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency; Simon Fraser University","funders":"","keywords":"Lymphoma; DNA sequencing; Biology; Immunology; Medicine; Oncology; Cancer research; DNA; 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":[0.003597123,0.0009247154,0.0008183175,0.002464941,0.0008716505,0.002126327,0.001283847,0.001066953,0.02038146],"category_scores_gemma":[0.004642557,0.0005717311,0.0005198521,0.003817755,0.0002558703,0.0008716019,0.001864579,0.001426896,0.01275955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008940545,"about_ca_system_score_gemma":0.002978433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005162113,"about_ca_topic_score_gemma":0.009202255,"domain_scores_codex":[0.99884,0.0003461575,0.0001210931,0.0003189372,0.0002330095,0.0001408216],"domain_scores_gemma":[0.9977423,0.0004045891,0.0002900192,0.0002508826,0.0006692085,0.0006431382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003595104,0.0003572908,0.04957456,0.004472128,0.0007026881,0.001144081,0.001018287,0.001569676,0.04975237,0.004928432,0.7031642,0.1797211],"study_design_scores_gemma":[0.001515342,0.0003995086,0.07901407,0.0008826898,0.0002970451,0.001109256,0.0002812138,0.002519014,0.009875234,0.003518468,0.9005124,0.00007574978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03420197,0.003616804,0.0168481,0.002760513,0.0003574167,0.001379177,0.9173648,0.00726248,0.01620874],"genre_scores_gemma":[0.02086126,0.0009503295,0.03645326,0.0009259569,0.0001118142,0.001381438,0.9341264,0.0007559199,0.004433656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02038146,"threshold_uncertainty_score":0.06818277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01838930068976245,"score_gpt":0.246847209022557,"score_spread":0.2284579083327946,"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."}}