{"id":"W2886611301","doi":"10.1177/1093526618790747","title":"Sarcoma Subgrouping by Detection of Fusion Transcripts Using NanoString nCounter Technology","year":2018,"lang":"en","type":"article","venue":"Pediatric and Developmental Pathology","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"","keywords":"Sarcoma; Fusion gene; Polymerase chain reaction; Fusion transcript; Reverse transcription polymerase chain reaction; Fusion; Computational biology; Biology; Medicine; Gene; Pathology; Messenger RNA; Genetics","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":[0.0001081184,0.0001245862,0.0001338308,0.0001183734,0.0001359438,0.000004405078,0.0000992974,0.0002774396,0.000006500255],"category_scores_gemma":[0.00001966013,0.000124423,0.00003124493,0.0001820989,0.0002100961,0.000003747135,0.0001204237,0.00007273429,0.000002230885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001306286,"about_ca_system_score_gemma":0.00003264984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001086279,"about_ca_topic_score_gemma":0.00001093787,"domain_scores_codex":[0.9991856,0.00002848627,0.0002259673,0.0003189547,0.00004814756,0.0001928951],"domain_scores_gemma":[0.9996963,0.000004785225,0.00008813464,0.000116484,0.00005819277,0.00003617071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002516779,0.00002632496,0.02790539,0.000009556376,0.000007263792,0.000001834765,0.00002786804,7.070402e-8,0.967636,0.00003163947,0.00007278202,0.004256129],"study_design_scores_gemma":[0.0003557588,0.0003276338,0.005299378,0.000004460978,0.00002298016,0.0002816237,0.00008131707,0.00002371049,0.990766,0.0001616543,0.002494848,0.0001806681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9414348,0.0009678606,0.05714409,0.00003033258,0.00006815895,0.0001404785,0.00001341342,0.00002235169,0.000178529],"genre_scores_gemma":[0.9917188,0.0006111259,0.007379032,0.0001060005,0.00009109687,0.0000190069,0.00003725779,0.00001341686,0.00002420535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05028407,"threshold_uncertainty_score":0.5073822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007068198728386158,"score_gpt":0.2329584716135512,"score_spread":0.2258902728851651,"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."}}