{"id":"W2994290391","doi":"10.1373/clinchem.2019.303339","title":"A New Era in Liquid Biopsy: From Genotype to Phenotype","year":2019,"lang":"en","type":"review","venue":"Clinical Chemistry","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"European Federation of Pharmaceutical Industries and Associations","keywords":"Liquid biopsy; Circulating tumor cell; Phenotype; Phenotypic screening; Biopsy; Computational biology; Precision medicine; Biology; Genotype; Cancer; Bioinformatics; Cancer research; Medicine; Pathology; Gene; Genetics; Metastasis","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002291379,0.0004781398,0.001453619,0.00002981258,0.0000202152,0.00004174356,0.0007341291,0.001279438,0.0002629634],"category_scores_gemma":[0.0008134277,0.0004701147,0.0006380642,0.0001823384,0.00004630972,0.000001444139,0.0005672903,0.0006342994,0.0005530444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007605163,"about_ca_system_score_gemma":0.001669395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007918922,"about_ca_topic_score_gemma":0.00002375031,"domain_scores_codex":[0.9971851,0.00005324389,0.001097683,0.001133248,0.0001344334,0.0003962597],"domain_scores_gemma":[0.9977798,0.000236158,0.0002899153,0.001221247,0.00005506475,0.000417817],"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":[0.0003792464,0.0002141219,0.0001779186,0.003131588,0.000351473,0.00004393493,0.00001066356,0.000006236005,0.001450239,0.00001160343,0.04819719,0.9460258],"study_design_scores_gemma":[0.0004387427,0.0001617741,0.00001655704,0.001345058,0.0002349936,0.000005064185,0.000002427096,7.410692e-7,0.000422384,0.00002897525,0.9967821,0.0005612086],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002907307,0.9937744,0.0001200954,0.00007097537,0.0007904925,0.0004201826,0.0003476695,0.00001376743,0.001555111],"genre_scores_gemma":[0.00008620715,0.990815,0.001602613,0.0004418903,0.003608679,0.00003683588,0.001506958,0.0001043157,0.001797494],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9485849,"threshold_uncertainty_score":0.9997751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06010140885426332,"score_gpt":0.3847634949558564,"score_spread":0.3246620861015931,"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."}}