{"id":"W4386608462","doi":"10.1016/j.ccell.2023.08.003","title":"Peeling the I-Onion to Demystify Pseudoprogression","year":2023,"lang":"en","type":"letter","venue":"Cancer Cell","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Pembrolizumab; Medicine; Internal medicine; Cancer; Oncology; Immunotherapy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00109483,0.0004409867,0.0006373443,0.0003768749,0.001958428,0.002051728,0.0007200259,0.01835427,0.004126178],"category_scores_gemma":[0.01004745,0.0002872515,0.0008967731,0.0002396928,0.001902498,0.002274547,0.001058915,0.02207251,0.003568159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001782947,"about_ca_system_score_gemma":0.001556206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001836498,"about_ca_topic_score_gemma":0.003387785,"domain_scores_codex":[0.9992969,0.0002133969,0.00008490397,0.00006825005,0.0001964601,0.0001400218],"domain_scores_gemma":[0.9978739,0.001212156,0.0001427955,0.0001197652,0.0002625374,0.0003889461],"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":[0.0001215727,0.00006023587,0.001419065,0.00008911322,0.00002876781,0.01910315,0.0002272472,0.0001383048,0.0007979097,0.008719631,0.9286163,0.04067864],"study_design_scores_gemma":[0.0001451121,0.0001431275,0.0008380804,0.000259807,0.00002817129,0.0216937,0.0003565954,0.000448997,0.0006866023,0.02072223,0.9546381,0.00003962806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001943638,0.006522507,0.0005263735,0.957882,0.02133692,0.00002322446,0.00003183454,0.00006464458,0.01166878],"genre_scores_gemma":[0.02703141,0.004460372,0.0008683685,0.8887949,0.05721463,0.00004657171,0.00002972913,0.00005119889,0.02150288],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01835427,"threshold_uncertainty_score":0.01380348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03909476538941183,"score_gpt":0.3268921724169567,"score_spread":0.2877974070275449,"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."}}