{"id":"W1991386396","doi":"10.3399/bjgp15x684661","title":"Assessing risk and improving survival in lymphoma","year":2015,"lang":"en","type":"letter","venue":"British Journal of General Practice","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Medicine; Lymphoma; Intensive care medicine; Data science; Computer science; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00182746,0.0002591782,0.000825573,0.00021292,0.00008976747,0.0005867619,0.0001109483,0.000452461,0.0000200345],"category_scores_gemma":[0.002853855,0.0002588831,0.0001664941,0.0001400939,0.00005969223,0.001123113,0.00007246376,0.001343599,0.00000555423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006278805,"about_ca_system_score_gemma":0.001000047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005180374,"about_ca_topic_score_gemma":0.00007709194,"domain_scores_codex":[0.9971159,0.0006343113,0.0007788189,0.0003006916,0.0008211865,0.0003490555],"domain_scores_gemma":[0.9969216,0.0006624517,0.001410387,0.000170602,0.0006370879,0.0001978993],"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":[0.0001409211,0.0003839299,0.006083005,0.0001119088,0.0003312793,0.1106335,0.00005390722,0.000004043183,0.00002947763,0.000001313174,0.4680039,0.4142228],"study_design_scores_gemma":[0.009094369,0.0005667343,0.06663865,0.001348566,0.001760794,0.1444194,0.0002514521,0.00006386132,0.00004092877,0.00006102716,0.7754097,0.0003445284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.6039928,0.06254617,0.00008543646,0.3217717,0.002493907,0.0005287998,0.00006632414,0.0000272505,0.008487599],"genre_scores_gemma":[0.2276939,0.04494221,0.04606758,0.6396142,0.03806879,0.00003207806,0.0002218813,0.0003734611,0.002985967],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4138782,"threshold_uncertainty_score":0.9999864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02988396463564497,"score_gpt":0.3125097270541007,"score_spread":0.2826257624184558,"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."}}