{"id":"W4317500300","doi":"10.1136/jitc-2022-006397","title":"Next-generation ctDNA-driven clinical trials in precision immuno-oncology","year":2023,"lang":"en","type":"letter","venue":"Journal for ImmunoTherapy of Cancer","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Precision oncology; Clinical Oncology; Medicine; Immunotherapy; Clinical trial; Oncology; Precision medicine; Targeted therapy; Cancer immunotherapy; Computational biology; Cancer; Internal medicine; Bioinformatics; Biology; Pathology","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":[0.007641688,0.0005861835,0.001247346,0.0004346475,0.001308838,0.002845685,0.00144964,0.02197644,0.00668444],"category_scores_gemma":[0.02211032,0.0004271106,0.001260992,0.000431395,0.002740735,0.003631403,0.001249616,0.02261302,0.004409657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002468848,"about_ca_system_score_gemma":0.002014374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006262658,"about_ca_topic_score_gemma":0.001838594,"domain_scores_codex":[0.9945742,0.002706054,0.000489102,0.0004208847,0.001413387,0.0003963829],"domain_scores_gemma":[0.9735445,0.02041057,0.0008058357,0.0006656119,0.002126924,0.002446438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.0006895288,0.0001418147,0.00120498,0.0002318432,0.00005208421,0.003256094,0.00008824557,0.0005907937,0.001751468,0.01171049,0.9188595,0.06142319],"study_design_scores_gemma":[0.0007208611,0.0005544244,0.001248658,0.0003144857,0.00004799894,0.002604431,0.0001340392,0.002387265,0.001273542,0.04036486,0.9502886,0.00006096689],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001246017,0.006120544,0.001281457,0.9608086,0.02505725,0.00006486156,0.0001305584,0.00008361001,0.005207093],"genre_scores_gemma":[0.01624598,0.005461977,0.002640728,0.8785237,0.09017959,0.0001928305,0.000152844,0.00005069543,0.006551667],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02197644,"threshold_uncertainty_score":0.04041362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.180440646656144,"score_gpt":0.465082961907514,"score_spread":0.28464231525137,"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."}}