{"id":"W4310106230","doi":"10.1182/blood-2022-164744","title":"Distinct Molecular Subtypes of Classic Hodgkin Lymphoma Identified By Comprehensive Noninvasive Profiling","year":2022,"lang":"en","type":"article","venue":"Blood","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Spinal Cord Injury BC","funders":"","keywords":"Profiling (computer programming); Lymphoma; Medicine; Hodgkin lymphoma; Computational biology; Pathology; Biology; Computer science","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":[0.0002823106,0.0002249464,0.0002195044,0.0007083177,0.0001323156,0.0004905611,0.0001752899,0.0002054178,0.001093561],"category_scores_gemma":[0.0005457139,0.0001235554,0.0001856405,0.0005341129,0.000219849,0.0001883307,0.0004800725,0.0001856073,0.0002574079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001749446,"about_ca_system_score_gemma":0.0001375059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005691162,"about_ca_topic_score_gemma":0.001235873,"domain_scores_codex":[0.9998384,0.00002234709,0.0000154198,0.00005837869,0.0000368707,0.00002869601],"domain_scores_gemma":[0.9998254,0.00004677393,0.00005027015,0.00002847657,0.00002408664,0.00002495821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008008905,0.00005967476,0.6061064,0.000145188,0.0001273375,0.0007802799,0.0003430239,0.001486861,0.3309732,0.0004365376,0.0005594192,0.0581812],"study_design_scores_gemma":[0.00006535586,0.0003474413,0.9283398,0.00003502086,0.0001767861,0.007129482,0.0004492911,0.01176669,0.0460228,0.001801286,0.003833971,0.00003205767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940156,0.0002964436,0.00424759,0.00003414609,0.000001953624,0.00003141008,0.0006289977,0.00007610268,0.0006678358],"genre_scores_gemma":[0.9940656,0.0001233414,0.004183342,0.00003851502,0.000004286885,0.00003547219,0.001299141,0.00001465588,0.0002355421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001093561,"threshold_uncertainty_score":0.003658354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007830092935507174,"score_gpt":0.2226991566632458,"score_spread":0.2148690637277386,"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."}}