{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008936563,0.00023583,0.0002391235,0.0007856229,0.00009563837,0.0004500184,0.000206591,0.0002927788,0.0004036291],"category_scores_gemma":[0.002576021,0.0001068271,0.0001835562,0.0003405483,0.0001698389,0.0003708077,0.0002434282,0.0001877682,0.0001686113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002090915,"about_ca_system_score_gemma":0.0001306202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006880524,"about_ca_topic_score_gemma":0.001122942,"domain_scores_codex":[0.9997298,0.00009738385,0.00003204443,0.00005868068,0.00005357693,0.00002847023],"domain_scores_gemma":[0.999063,0.000294307,0.0003419068,0.00007136256,0.000149754,0.00007973978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008524653,0.0000460347,0.9772344,0.00002034798,0.00004017551,0.0001490954,0.00006195657,0.001015433,0.005419865,0.00001666133,0.00006284229,0.01508075],"study_design_scores_gemma":[0.00001007494,0.0003719403,0.9900525,0.000004395511,0.00003840074,0.0005916715,0.00006992665,0.006173024,0.002497195,0.00003769954,0.0001464691,0.000006800472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986507,0.0001292896,0.0008239952,0.000008901528,0.000001948394,0.000009316221,0.000104357,0.00001745469,0.0002539988],"genre_scores_gemma":[0.999238,0.00003473067,0.0005009828,0.000003118073,0.000004188633,0.000006444391,0.000158754,0.000002751637,0.00005114521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008936563,"threshold_uncertainty_score":0.004726171,"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."}}