{"id":"W2801588305","doi":"10.1200/po.17.00198","title":"Comparative RNA-Sequencing Analysis Benefits a Pediatric Patient With Relapsed Cancer","year":2018,"lang":"en","type":"article","venue":"JCO Precision Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alex's Lemonade Stand Foundation for Childhood Cancer; Canadian Institutes of Health Research; National Cancer Institute; BC Cancer Foundation; St. Baldrick's Foundation; Canada Research Chairs","keywords":"Pediatric cancer; Gene; RNA; DNA sequencing; Computational biology; Biology; Cancer; Genome; Cancer genome sequencing; Genetics; Medicine; Genomics; Bioinformatics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002166892,0.0004887757,0.0004777204,0.0008097667,0.0007388953,0.0006292597,0.0003644952,0.001335802,0.0009746723],"category_scores_gemma":[0.00103608,0.0002157944,0.000358181,0.0004399327,0.0006325485,0.0003298463,0.000396626,0.0009839985,0.0004053228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007461833,"about_ca_system_score_gemma":0.0004030713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001784361,"about_ca_topic_score_gemma":0.002499336,"domain_scores_codex":[0.9997293,0.00002827303,0.00002149832,0.00009829446,0.00006354284,0.00005905961],"domain_scores_gemma":[0.9994966,0.0001952495,0.0000977132,0.0000272051,0.00006445681,0.0001187684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.0001933329,0.00006123453,0.0517487,0.00006849935,0.00002170834,0.8930824,0.001045894,0.0008421862,0.03769776,0.001051254,0.001086086,0.01310103],"study_design_scores_gemma":[0.000008601854,0.0002692814,0.03114019,0.00002814375,0.00003896711,0.9409505,0.0006117519,0.002235151,0.02036827,0.000437976,0.003889346,0.00002194785],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876152,0.0008624024,0.006018053,0.001376392,0.00005612988,0.00004419146,0.0005497118,0.000152961,0.003325057],"genre_scores_gemma":[0.9914301,0.0007677505,0.006148588,0.0003824133,0.00005944215,0.00001792188,0.000281888,0.00007666701,0.0008352316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001784361,"threshold_uncertainty_score":0.005414009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454373684747535,"score_gpt":0.3100861393035607,"score_spread":0.2855424024560853,"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."}}