{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007055719,0.0009249499,0.001418477,0.002646276,0.0005295229,0.005565914,0.001513157,0.003176259,0.004926904],"category_scores_gemma":[0.008794957,0.0004262257,0.0006383877,0.001871263,0.006114198,0.006996096,0.002538121,0.006793554,0.003033248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001794778,"about_ca_system_score_gemma":0.001514947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238567,"about_ca_topic_score_gemma":0.001359732,"domain_scores_codex":[0.9959741,0.00178458,0.0002911996,0.0005666676,0.001222791,0.0001606466],"domain_scores_gemma":[0.989691,0.006076753,0.0007392742,0.0008416497,0.002003868,0.0006474147],"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":[0.0003948094,0.0001062303,0.004915474,0.002742568,0.00009655899,0.0009995123,0.0004920978,0.0006227189,0.01543758,0.06867527,0.06630674,0.8392105],"study_design_scores_gemma":[0.00003435068,0.000319079,0.003570406,0.00284242,0.0001112704,0.007328879,0.0007948541,0.001819364,0.01016679,0.07191905,0.9009314,0.0001622717],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004905855,0.772908,0.1080304,0.08535659,0.009768468,0.00009595026,0.0006256165,0.0009547821,0.01735438],"genre_scores_gemma":[0.06332442,0.7310656,0.09742998,0.06767856,0.02054057,0.000227861,0.0008001325,0.0006543783,0.01827847],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007055719,"threshold_uncertainty_score":0.03731465,"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."}}