{"id":"W2893825085","doi":"10.1200/jgo.18.46200","title":"Global Consultation on Cancer Staging: To Promote Consistent Understanding and Use of Cancer Stage Terminology","year":2018,"lang":"en","type":"article","venue":"Journal of Global Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Terminology; Medicine; CLARITY; Stage (stratigraphy); Context (archaeology); Cancer; Disease; Schema (genetic algorithms); Cancer staging; Relevance (law); Confusion; MEDLINE; Pathology; Internal medicine; Psychology; Computer science","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":[0.1043218,0.0008256001,0.001794938,0.01355,0.003034096,0.006991837,0.003924463,0.007383848,0.005002636],"category_scores_gemma":[0.1370631,0.0007265862,0.001542732,0.01235248,0.006970169,0.01152233,0.0113415,0.007026652,0.001865128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01103163,"about_ca_system_score_gemma":0.05918038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01329602,"about_ca_topic_score_gemma":0.01263158,"domain_scores_codex":[0.9141285,0.05879132,0.01205076,0.002373086,0.01008687,0.002569537],"domain_scores_gemma":[0.8018609,0.1071381,0.01819608,0.005307627,0.05725236,0.01024488],"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":[0.000129788,0.0001257054,0.01002084,0.03647323,0.0001681433,0.001499091,0.03322744,0.0006467906,0.002772409,0.03302988,0.4339279,0.4479789],"study_design_scores_gemma":[0.0001072461,0.0001931085,0.0193782,0.0653886,0.0001394353,0.002120763,0.04589006,0.0006237924,0.0007058464,0.03204436,0.833196,0.0002125746],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.008989811,0.1111016,0.01372213,0.8388065,0.008555236,0.001229566,0.0008275745,0.0003272504,0.01644027],"genre_scores_gemma":[0.2542438,0.1859256,0.1309979,0.3972798,0.01305097,0.005095775,0.003858669,0.0004698589,0.009077698],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1043218,"threshold_uncertainty_score":0.5517128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05451456707443176,"score_gpt":0.3648685955789863,"score_spread":0.3103540285045545,"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."}}