{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002367456,0.0001199016,0.000262591,0.00001246427,0.0004440793,0.00001502104,0.0007839883,0.0002686799,0.00002257212],"category_scores_gemma":[0.00290794,0.00008359188,0.0002256318,0.00001734445,0.0008444114,0.000002949314,0.0004128626,0.000120082,0.000005341526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000163202,"about_ca_system_score_gemma":0.0004324063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008190847,"about_ca_topic_score_gemma":0.000393924,"domain_scores_codex":[0.9988047,0.0001199975,0.0003705759,0.0002690462,0.0001507223,0.0002849067],"domain_scores_gemma":[0.9980731,0.0004915403,0.0003780654,0.0006450817,0.0002809205,0.0001313081],"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":[0.0003038121,0.0001161023,0.0002959592,0.00001275339,0.0001414872,0.000008370509,0.00009102849,0.000004414394,0.01082416,0.001048945,0.4314319,0.555721],"study_design_scores_gemma":[0.001415305,0.003799499,0.003519244,0.00001763991,0.00002709844,0.00001941485,0.00007705051,0.00007381619,0.00558487,0.001521447,0.9838504,0.00009427833],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4092723,0.01471645,0.006855607,0.2568573,0.005314053,0.001375287,0.0001976869,0.00002787477,0.3053834],"genre_scores_gemma":[0.9580061,0.02869873,0.001249064,0.00789955,0.003016851,0.00004607942,0.0001028305,0.00003934155,0.0009415035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5556267,"threshold_uncertainty_score":0.3481286,"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."}}