{"id":"W4396935974","doi":"10.37766/inplasy2024.5.0069","title":"Metabolic tumor volume and survival of Non-Hodgkin lymphoma on CAR-T","year":2024,"lang":"en","type":"report","venue":"","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Volume (thermodynamics); Hodgkin lymphoma; Lymphoma; Oncology; Medicine; Internal medicine; Cancer research; Biology; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003945176,0.0007767418,0.007689965,0.008681614,0.0002905492,0.001609507,0.001298305,0.001278438,0.02038637],"category_scores_gemma":[0.01868832,0.0004641398,0.003986899,0.01232305,0.0004120072,0.001305026,0.0008252827,0.0006380256,0.0008637325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002831792,"about_ca_system_score_gemma":0.003543113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007480882,"about_ca_topic_score_gemma":0.01246167,"domain_scores_codex":[0.9972358,0.0007271887,0.001265127,0.0003015015,0.0003667304,0.0001036635],"domain_scores_gemma":[0.9881175,0.00793632,0.003013473,0.0001626814,0.0005779269,0.0001920763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.002490772,0.00002704767,0.004587266,0.9491409,0.01220435,0.0002053819,0.0001123364,0.000180622,0.0002621804,0.0004675046,0.008063276,0.02225835],"study_design_scores_gemma":[0.00658698,0.001247306,0.06503285,0.7364619,0.1185949,0.001243468,0.0004618782,0.0008026156,0.0005607771,0.002744587,0.06612226,0.0001403446],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02356612,0.8830594,0.001187716,0.00163453,0.0005421067,0.009295464,0.07463744,0.0001320451,0.005945107],"genre_scores_gemma":[0.2353056,0.6957804,0.004528224,0.003533885,0.0007676423,0.03058395,0.02410663,0.00009716897,0.005296606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02038637,"threshold_uncertainty_score":0.06819922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04075104521434837,"score_gpt":0.3546724302103901,"score_spread":0.3139213849960418,"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."}}