{"id":"W4386241120","doi":"10.1016/s1470-2045(23)00386-8","title":"Precision medicine for children with cancer","year":2023,"lang":"en","type":"article","venue":"The Lancet Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Precision medicine; Cancer Medicine; Medicine; Cancer; Medical physics; Internal medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005593473,0.0006711505,0.001030167,0.001306636,0.0009454804,0.002378765,0.0008076467,0.003749551,0.0137328],"category_scores_gemma":[0.02282976,0.0003018308,0.0008836119,0.0009857016,0.002484801,0.002973865,0.002928133,0.007658964,0.002405033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003094704,"about_ca_system_score_gemma":0.00465021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00319172,"about_ca_topic_score_gemma":0.003705737,"domain_scores_codex":[0.9975545,0.001058646,0.0001407498,0.0002834716,0.0007336952,0.0002288648],"domain_scores_gemma":[0.9851509,0.009818618,0.001344056,0.001068346,0.001320448,0.001297607],"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":[0.0001209523,0.00003784621,0.003750015,0.001343302,0.00021325,0.0003595681,0.0003611777,0.0004111999,0.0005769039,0.09987951,0.579769,0.3131772],"study_design_scores_gemma":[0.00009720628,0.00009717736,0.003919095,0.002042985,0.0001526929,0.001122788,0.0002774304,0.0001557722,0.0005616045,0.1103485,0.8811908,0.00003407728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.001510371,0.4121802,0.004229524,0.5409907,0.01372748,0.00002423577,0.0009597394,0.0002884536,0.02608935],"genre_scores_gemma":[0.0974245,0.5783761,0.01609555,0.2340304,0.05491866,0.0001714708,0.001315749,0.0002043992,0.01746324],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0137328,"threshold_uncertainty_score":0.04594076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03005032462053733,"score_gpt":0.3426169021118465,"score_spread":0.3125665774913092,"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."}}