{"id":"W3016044607","doi":"10.1016/j.ccell.2020.03.015","title":"A Probabilistic Classification Tool for Genetic Subtypes of Diffuse Large B Cell Lymphoma with Therapeutic Implications","year":2020,"lang":"en","type":"article","venue":"Cancer Cell","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":1145,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"National Cancer Institute; National Institutes of Health; Terry Fox Research Institute; AbbVie; Genentech; Celgene; Janssen Biotech; Roche","keywords":"Diffuse large B-cell lymphoma; Lymphoma; Computational biology; Cancer research; Probabilistic logic; Biology; Computer science; Immunology; Artificial intelligence","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":[0.003006598,0.0008084517,0.0007712892,0.006640336,0.0008624484,0.002663402,0.001328163,0.001623525,0.003894195],"category_scores_gemma":[0.01486278,0.0003860019,0.001484423,0.002083769,0.0003100017,0.001608568,0.00152776,0.001217812,0.001626692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008408329,"about_ca_system_score_gemma":0.001326159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004107368,"about_ca_topic_score_gemma":0.00580734,"domain_scores_codex":[0.9983638,0.0002931694,0.0002294933,0.0003024799,0.000659833,0.0001512684],"domain_scores_gemma":[0.9939587,0.003475361,0.0007005784,0.000358559,0.001272013,0.0002347873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008381104,0.0004226555,0.1423758,0.0003383728,0.0004047966,0.0008064442,0.0002656537,0.0474562,0.007043199,0.009306869,0.02896609,0.7617759],"study_design_scores_gemma":[0.0001513898,0.0001945255,0.0259211,0.0001564331,0.0003282465,0.003017275,0.0001926665,0.9139888,0.005105523,0.03575908,0.01508491,0.0001000112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.109446,0.001204993,0.864993,0.002163413,0.0002135601,0.0005062295,0.007034797,0.008864756,0.005573247],"genre_scores_gemma":[0.5673761,0.000451854,0.4219972,0.0003972524,0.0002658993,0.0005128609,0.00605464,0.0003957376,0.002548444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006640336,"threshold_uncertainty_score":0.01590055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03299643181904677,"score_gpt":0.2739337415544668,"score_spread":0.24093730973542,"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."}}