{"id":"W4392595924","doi":"10.3390/cancers16061090","title":"Evaluating Outcome Prediction via Baseline, End-of-Treatment, and Delta Radiomics on PET-CT Images of Primary Mediastinal Large B-Cell Lymphoma","year":2024,"lang":"en","type":"article","venue":"Cancers","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Spinal Cord Injury BC; University of British Columbia; BC Children's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; BC Cancer Foundation","keywords":"Medicine; Radiomics; Nuclear medicine; Standardized uptake value; Feature selection; Radiology; Progression-free survival; Positron emission tomography; Chemotherapy; Artificial intelligence; Internal medicine; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002669965,0.0001937874,0.0003927007,0.000134724,0.0000425153,0.00001076017,0.00003795436,0.00002229176,0.0000593125],"category_scores_gemma":[0.00005476723,0.0001467196,0.0001276049,0.000140391,0.00007775758,0.00006158096,0.00002113682,0.00004029855,0.000004907303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002656087,"about_ca_system_score_gemma":0.0009647445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004924202,"about_ca_topic_score_gemma":0.00001982792,"domain_scores_codex":[0.9988446,0.00004474272,0.0003679373,0.0003165955,0.0002252251,0.0002008638],"domain_scores_gemma":[0.9992071,0.0003070597,0.0001036687,0.0002077821,0.00005953938,0.0001148185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001116171,0.001517871,0.3344649,0.002591472,0.00114185,0.001002247,0.0008563664,0.0004827887,0.01960928,0.0001997895,0.002650346,0.6343669],"study_design_scores_gemma":[0.08812915,0.02125541,0.3365772,0.00443641,0.008125254,0.002339179,0.0009648961,0.1860356,0.3353148,0.0001613246,0.0155486,0.001112124],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901866,0.006649842,0.0001454737,0.000113232,0.000423474,0.0004246607,0.0005657427,0.00005053909,0.001440466],"genre_scores_gemma":[0.9965459,0.001484142,0.001238349,0.0001089305,0.0001543517,0.00007444735,0.0001929519,0.00002770685,0.0001731963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6332548,"threshold_uncertainty_score":0.6945575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03576613156520476,"score_gpt":0.3268786021849472,"score_spread":0.2911124706197424,"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."}}