{"id":"W4411450234","doi":"10.1056/evidoa2500115","title":"An Individualized Prediction Model for Early-Stage Classic Hodgkin’s Lymphoma","year":2025,"lang":"en","type":"article","venue":"NEJM Evidence","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University of British Columbia; Queen's University","funders":"National Cancer Institute","keywords":"Medicine; Stage (stratigraphy); Cohort; Internal medicine; Clinical trial; Confidence interval; Statistic; Proportional hazards model; Oncology; Statistics; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002348767,0.0001893363,0.0003038742,0.0001426754,0.0001460288,0.00006905893,0.0001439561,0.0001366322,0.00003161064],"category_scores_gemma":[0.0002344763,0.0001584042,0.0001408272,0.0002112859,0.00005613285,0.0003612087,0.00003836543,0.00004603639,0.00002226438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003543151,"about_ca_system_score_gemma":0.0005138676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001322432,"about_ca_topic_score_gemma":0.00004221234,"domain_scores_codex":[0.9986299,0.00004250144,0.0003002985,0.0004542118,0.0002862515,0.0002868472],"domain_scores_gemma":[0.9988201,0.0002808029,0.0000844336,0.0005292677,0.0001349412,0.0001504319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00195721,0.002154029,0.8291724,0.0007041909,0.0004940448,0.00008512894,0.001853354,0.0006839393,0.003366631,0.008933652,0.01888376,0.1317117],"study_design_scores_gemma":[0.008586733,0.001098189,0.8250422,0.001455506,0.0006758472,0.00001093451,0.0001061713,0.1509763,0.00509329,0.001077257,0.005661285,0.0002161749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806197,0.001085617,0.0132854,0.001770303,0.0002854166,0.001290433,0.0001014132,0.0002083634,0.001353347],"genre_scores_gemma":[0.9888873,0.0004149948,0.004755811,0.001218786,0.00009653086,0.0006724201,0.00004878605,0.00001910359,0.003886293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1502924,"threshold_uncertainty_score":0.6459535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05666676248189542,"score_gpt":0.3540777375617735,"score_spread":0.2974109750798781,"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."}}