{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001738282,0.00008441282,0.0001317033,0.00001009689,0.00004512791,0.000009765991,0.0002414036,0.0001061291,0.00005173353],"category_scores_gemma":[0.0003846121,0.0000637268,0.00004867442,0.0001016764,0.0001460967,9.334897e-7,0.0001687575,0.0001302862,0.00003994929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008638453,"about_ca_system_score_gemma":0.0001245949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001321383,"about_ca_topic_score_gemma":0.0008728926,"domain_scores_codex":[0.9993482,0.00005555455,0.000147861,0.0002219279,0.00005244787,0.0001739996],"domain_scores_gemma":[0.9996249,0.00003700398,0.00006066111,0.0001904648,0.0000287848,0.00005816463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001791366,0.0006216309,0.1101828,0.00003408061,0.0001345751,0.0001297735,0.001504243,0.001976082,0.4588738,0.009401436,0.395547,0.01980321],"study_design_scores_gemma":[0.0008882434,0.00149549,0.03886672,0.000002574984,0.00001166334,0.000007768051,0.0002021882,0.0001340972,0.005230563,0.0004615164,0.9525493,0.0001498606],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9051027,0.001143061,0.0002543222,0.02124046,0.0003783271,0.0003548024,0.00003545764,0.00001912244,0.07147172],"genre_scores_gemma":[0.9942273,0.0005222026,0.0001865994,0.00421075,0.0005160704,0.00002875797,0.00002514946,0.00001092093,0.0002721726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5570022,"threshold_uncertainty_score":0.2598704,"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."}}