{"id":"W4212817368","doi":"10.1093/oncolo/oyac047","title":"Circulating Biomarkers for Therapeutic Monitoring of Anti-cancer Agents","year":2022,"lang":"en","type":"review","venue":"The Oncologist","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Medicine; Microvesicles; Disease; Cancer; Circulating tumor cell; Biomarker discovery; Cancer biomarkers; Disease monitoring; Biomarker; Bioinformatics; Internal medicine; microRNA; Proteomics; Metastasis; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002394351,0.0002094298,0.0006496373,0.00002857064,0.0002609359,0.00001283644,0.0006358599,0.0001486427,0.0002819943],"category_scores_gemma":[0.00002977113,0.0001479525,0.0003636359,0.0001596836,0.0001139075,0.0000162635,0.0001615473,0.0002854168,0.000001100256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003273026,"about_ca_system_score_gemma":0.0001237604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002220333,"about_ca_topic_score_gemma":2.92766e-7,"domain_scores_codex":[0.9989813,0.0000302346,0.0004229798,0.0002611769,0.0001108398,0.0001934651],"domain_scores_gemma":[0.9983396,0.000391177,0.0007286847,0.0004961694,0.00002305247,0.00002129778],"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":[0.000003434019,0.00003377095,0.00002902446,0.0044881,0.0002033021,6.216293e-7,0.00001719439,0.00001423025,0.0004960048,0.0002177146,0.00007353454,0.9944231],"study_design_scores_gemma":[0.0000758714,0.00001207953,8.891163e-7,0.0008392121,0.0003713878,0.000004401177,0.00005849285,0.00002100563,0.0009562384,0.0003777236,0.9971176,0.000165101],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008823076,0.995446,0.001336836,0.00003403598,0.00009387069,0.0009208944,0.0002536468,0.00009446251,0.001732037],"genre_scores_gemma":[0.0002077118,0.990723,0.003841642,0.000008847857,0.0001723547,0.004571954,0.00005608352,0.00005506573,0.0003633223],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9970441,"threshold_uncertainty_score":0.6033328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2113466170831477,"score_gpt":0.4558295552984037,"score_spread":0.244482938215256,"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."}}