{"id":"W4281772053","doi":"10.1053/j.semnuclmed.2022.04.010","title":"FDG PET/CT for Evaluation of Immunotherapy Response in Lung Cancer Patients","year":2022,"lang":"en","type":"review","venue":"Seminars in Nuclear Medicine","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Lung cancer; Pneumonitis; Immunotherapy; Response Evaluation Criteria in Solid Tumors; Immune system; Biomarker; Cancer; Radiation therapy; Oncology; Internal medicine; Chemotherapy; Progressive disease; Lung; Immunology","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":[0.001083462,0.0009190632,0.002580626,0.00190607,0.0001463287,0.001092755,0.001096822,0.001196454,0.001728125],"category_scores_gemma":[0.001607639,0.0003438088,0.001085734,0.001476377,0.0004999166,0.0007494258,0.000447991,0.00192435,0.0008877563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007138984,"about_ca_system_score_gemma":0.0009974669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002153828,"about_ca_topic_score_gemma":0.004152626,"domain_scores_codex":[0.9997213,0.0000722867,0.00004729677,0.00005637962,0.00007375405,0.00002884366],"domain_scores_gemma":[0.9994051,0.0003929473,0.00006384106,0.00001339544,0.0001020443,0.00002257902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002936109,0.00005840688,0.001365298,0.01533695,0.0004505587,0.0003002401,0.00003451397,0.0002489154,0.000848953,0.0008177657,0.01682585,0.9634189],"study_design_scores_gemma":[0.0007308856,0.0007160064,0.02231983,0.04300905,0.005096238,0.008053636,0.0002550459,0.0009162326,0.002323332,0.004459169,0.9119511,0.0001694572],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009752373,0.9993906,0.00004313428,0.0001240274,0.00007148863,0.000003942549,0.00001298143,0.000002450846,0.0002538232],"genre_scores_gemma":[0.002536735,0.9960848,0.0003267257,0.0004843116,0.0002227867,0.00001393488,0.00006423397,0.00000227719,0.0002642249],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002580626,"threshold_uncertainty_score":0.005781114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04614001947490114,"score_gpt":0.4022978504673237,"score_spread":0.3561578309924226,"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."}}