{"id":"W2769367424","doi":"10.1093/annonc/mdx707","title":"The European Society for Medical Oncology (ESMO) Precision Medicine Glossary","year":2017,"lang":"en","type":"article","venue":"Annals of Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":162,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"European Society for Medical Oncology; Cancer Research UK; Wellcome Trust","keywords":"Glossary; Medicine; Context (archaeology); Precision medicine; CLARITY; MEDLINE; Oncology; Internal medicine; Medical education; 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":[0.00542969,0.00123994,0.00200478,0.009475732,0.001568277,0.004464267,0.001581985,0.004237961,0.05494479],"category_scores_gemma":[0.02915577,0.000549247,0.000810969,0.007826645,0.001837025,0.002215389,0.004159535,0.005770918,0.04533632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659642,"about_ca_system_score_gemma":0.004948742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003118305,"about_ca_topic_score_gemma":0.003528109,"domain_scores_codex":[0.9954945,0.000954135,0.001214479,0.0004350893,0.00163119,0.0002706633],"domain_scores_gemma":[0.9844988,0.005652756,0.0026483,0.001268059,0.00475362,0.001178575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003839633,0.00001328081,0.0001766811,0.001606377,0.00001953945,0.0001077127,0.0000599953,0.0000994508,0.0003429,0.01144449,0.8886948,0.09739632],"study_design_scores_gemma":[0.000008417509,0.00001038328,0.0004461315,0.00122118,0.00001953763,0.0002675953,0.0000265352,0.00003874943,0.00008799364,0.002954445,0.9949103,0.000008574611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001306458,0.3047545,0.02023754,0.1738702,0.08750226,0.000937351,0.04999026,0.002022953,0.3593786],"genre_scores_gemma":[0.01844688,0.4101104,0.04213146,0.1882415,0.07498005,0.003459497,0.06368516,0.001706285,0.1972388],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05494479,"threshold_uncertainty_score":0.1838087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05988875469187954,"score_gpt":0.4068108173641823,"score_spread":0.3469220626723027,"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."}}