{"id":"W2564174616","doi":"10.1038/nrclinonc.2016.195","title":"RECIST — learning from the past to build the future","year":2016,"lang":"en","type":"review","venue":"Nature Reviews Clinical Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":154,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"National Cancer Institute; Amgen","keywords":"Medicine; Medical physics; MEDLINE","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":[0.002353166,0.0008709208,0.001340708,0.001458334,0.0004515846,0.002740487,0.001742547,0.002863965,0.006053099],"category_scores_gemma":[0.004122034,0.00034114,0.0005134947,0.001184675,0.002082727,0.004110876,0.001813247,0.006912353,0.003682193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001270682,"about_ca_system_score_gemma":0.002417356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001364644,"about_ca_topic_score_gemma":0.003540772,"domain_scores_codex":[0.9993445,0.0001968623,0.00005561542,0.00008528466,0.0002388665,0.00007878587],"domain_scores_gemma":[0.9984033,0.0009245178,0.000128603,0.00006854669,0.0002899554,0.0001851089],"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":[0.00008472358,0.00003550233,0.0001737064,0.005069538,0.00007255222,0.0001928696,0.0001323904,0.0002636444,0.0005717203,0.01471548,0.1766549,0.8020329],"study_design_scores_gemma":[0.00001232978,0.00001793504,0.0001163384,0.001628811,0.00002220906,0.0004154485,0.00004440231,0.00003960602,0.0001357615,0.004831395,0.992723,0.00001279099],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006772586,0.9906031,0.0004525628,0.005631151,0.001571515,0.000004355004,0.00002400279,0.00003364059,0.001611984],"genre_scores_gemma":[0.001194889,0.9886757,0.0006169059,0.005444516,0.001758881,0.00001030543,0.00005979158,0.00001875485,0.002220261],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006053099,"threshold_uncertainty_score":0.02024961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06508934699397997,"score_gpt":0.4491831837177788,"score_spread":0.3840938367237988,"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."}}