{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008563555,0.0009602403,0.001069137,0.002308078,0.0002569864,0.001190734,0.0007257872,0.001350298,0.003725671],"category_scores_gemma":[0.0009780974,0.0003121453,0.0005741097,0.001414435,0.0004320996,0.001284152,0.0007740676,0.002397265,0.003766586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000580987,"about_ca_system_score_gemma":0.0007731543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005603101,"about_ca_topic_score_gemma":0.0008092418,"domain_scores_codex":[0.9996608,0.00007286383,0.00003309124,0.00005347421,0.0001509435,0.0000287226],"domain_scores_gemma":[0.9996496,0.0001610949,0.00004490313,0.0000133959,0.0001080149,0.00002300321],"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":[0.00008039298,0.0001058388,0.0002145144,0.01087678,0.00008534901,0.0002624789,0.00006457367,0.0004720548,0.007989096,0.01005949,0.03534659,0.9344428],"study_design_scores_gemma":[0.00001074922,0.0001006465,0.0003988753,0.001593982,0.00004951079,0.0009706962,0.0000304698,0.0001550165,0.002090592,0.002086507,0.9924959,0.00001705968],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000188705,0.9960781,0.0007026594,0.0004218852,0.0004254549,0.0000111741,0.00002785196,0.00001584285,0.002128429],"genre_scores_gemma":[0.001559989,0.9951659,0.0008582498,0.0003203327,0.0003120572,0.00002333122,0.00005374208,0.000003996536,0.001702319],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003725671,"threshold_uncertainty_score":0.01246363,"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."}}