{"id":"W2766146016","doi":"10.1016/j.jmoldx.2017.09.007","title":"Development and Evaluation of a Pan-Sarcoma Fusion Gene Detection Assay Using the NanoString nCounter Platform","year":2017,"lang":"en","type":"article","venue":"Journal of Molecular Diagnostics","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; BC Cancer Agency; University of British Columbia","funders":"University of British Columbia; Singapore General Hospital; BC Cancer Agency; Canadian Cancer Society","keywords":"Fusion gene; PDGFB; Synovial sarcoma; Sarcoma; Fluorescence in situ hybridization; Cancer research; Dermatofibrosarcoma protuberans; Biology; Medicine; Pathology; Gene; Internal medicine; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005341786,0.001059458,0.0008105484,0.002239324,0.0004582688,0.001078035,0.001447382,0.00120865,0.003798135],"category_scores_gemma":[0.003516599,0.00108976,0.0007096826,0.0006241046,0.0009195195,0.0008457441,0.001238724,0.00121108,0.002129487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009912461,"about_ca_system_score_gemma":0.001371767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000895882,"about_ca_topic_score_gemma":0.002487605,"domain_scores_codex":[0.9939951,0.001017802,0.0004188005,0.001560076,0.002716949,0.0002913078],"domain_scores_gemma":[0.9984695,0.0004497309,0.0002004834,0.0002191223,0.0005108708,0.0001502706],"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":[0.0002556091,0.0001130471,0.003576217,0.0003044228,0.0000899053,0.0001431955,0.0001002802,0.002134029,0.9564751,0.001050346,0.002070861,0.03368706],"study_design_scores_gemma":[0.00009336159,0.001075776,0.0098307,0.00006310453,0.0001243511,0.001222644,0.00005355602,0.030301,0.9250405,0.0005984905,0.03150362,0.00009269177],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1886585,0.002792417,0.7870418,0.0006279142,0.0003804945,0.003076508,0.0032888,0.006588374,0.007545191],"genre_scores_gemma":[0.2876825,0.001430773,0.6804688,0.00078707,0.00008083355,0.006985634,0.008370199,0.000941744,0.01325251],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005341786,"threshold_uncertainty_score":0.0282504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05913443098892342,"score_gpt":0.3263407111248603,"score_spread":0.2672062801359369,"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."}}