{"id":"W3170616394","doi":"10.1038/s41375-021-01314-1","title":"Gene expression-based outcome prediction in advanced stage classical Hodgkin lymphoma treated with BEACOPP","year":2021,"lang":"en","type":"letter","venue":"Leukemia","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"Canadian Institutes of Health Research; BC Cancer Foundation; Max-Planck-Gesellschaft; Michael Smith Health Research BC","keywords":"Lymphoma; Classical Hodgkin lymphoma; Stage (stratigraphy); Oncology; Outcome (game theory); Internal medicine; Medicine; Hodgkin lymphoma; Gene expression; Cancer research; Gene; Biology; Genetics; Mathematics","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":[0.0003477318,0.0001268249,0.0003016177,0.0003458523,0.0002772234,0.0003678837,0.0001641696,0.0008162518,0.0005195875],"category_scores_gemma":[0.002182255,0.00005859646,0.0001380919,0.0003259789,0.0002103437,0.0001880259,0.0001266327,0.0007572056,0.0002947629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005335291,"about_ca_system_score_gemma":0.0002191345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008351906,"about_ca_topic_score_gemma":0.001238385,"domain_scores_codex":[0.9997551,0.00009747067,0.0000231862,0.00003292989,0.0000563012,0.00003500832],"domain_scores_gemma":[0.9992129,0.0004523996,0.00005032768,0.00003357685,0.0001357065,0.0001150613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004333184,0.0003715568,0.757391,0.0002024835,0.00008387904,0.02432481,0.0004859254,0.001266977,0.01855673,0.0007589531,0.03103541,0.161189],"study_design_scores_gemma":[0.0002528315,0.001830027,0.8662521,0.0001696416,0.0001720058,0.05047076,0.0008903744,0.02516197,0.009072815,0.004862026,0.04081641,0.00004909947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.935209,0.003662107,0.001822926,0.05216784,0.0007294143,0.00006042045,0.0004647881,0.00006702964,0.005816443],"genre_scores_gemma":[0.9875825,0.0009646972,0.00100003,0.007236254,0.001255344,0.00003749384,0.0002414461,0.00001252186,0.001669716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008351906,"threshold_uncertainty_score":0.003871083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01967995119461986,"score_gpt":0.2598461626357538,"score_spread":0.2401662114411339,"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."}}