{"id":"W3019309608","doi":"10.1634/theoncologist.2019-0887","title":"Oncology in 2050 – A Retrospective?","year":2020,"lang":"en","type":"article","venue":"The Oncologist","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Retrospective cohort study; Oncology; MEDLINE; Internal medicine","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":[0.003465509,0.0002834247,0.0002390499,0.001661791,0.004181664,0.005434734,0.0005362498,0.002356569,0.004746434],"category_scores_gemma":[0.01385307,0.0002424188,0.0002574494,0.001763323,0.002675791,0.005031442,0.002619376,0.005866384,0.0008931409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002489539,"about_ca_system_score_gemma":0.003751218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01088439,"about_ca_topic_score_gemma":0.02012042,"domain_scores_codex":[0.9990734,0.0003129827,0.00007565243,0.00009042493,0.0001906482,0.0002568291],"domain_scores_gemma":[0.9951497,0.002162139,0.0007070452,0.000212462,0.0009105703,0.0008580394],"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":[0.00062857,0.0001463654,0.03391239,0.001011875,0.0001034688,0.0111608,0.07988271,0.0005823204,0.0006301149,0.2488284,0.4911205,0.1319924],"study_design_scores_gemma":[0.00000751912,0.00007752341,0.006140021,0.001403275,0.00004040896,0.005545751,0.02777702,0.00005854933,0.0002433333,0.007616627,0.9510341,0.00005575622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1737206,0.1027033,0.00320844,0.5374951,0.03372365,0.00009435365,0.005345253,0.0001676386,0.1435416],"genre_scores_gemma":[0.7742288,0.06762691,0.00171091,0.1238222,0.01026551,0.0001288068,0.002530789,0.0001783672,0.01950775],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01088439,"threshold_uncertainty_score":0.02164203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02291055533458568,"score_gpt":0.2888697702118643,"score_spread":0.2659592148772786,"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."}}