{"id":"W2505765078","doi":"10.1111/ijlh.12555","title":"Development of a NanoString assay to detect leukemogenic fusion transcripts in acute myeloid leukemia","year":2016,"lang":"en","type":"article","venue":"International Journal of Laboratory Hematology","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"National Natural Science Foundation of China","keywords":"TaqMan; Fusion gene; Myeloid leukemia; Fusion transcript; breakpoint cluster region; Biology; Gold standard (test); Minimal residual disease; Real-time polymerase chain reaction; Polymerase chain reaction; Molecular biology; Leukemia; Cancer research; Medicine; Gene; Immunology; Genetics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002004812,0.0007701042,0.0004551176,0.001352392,0.000232929,0.0006197414,0.0006072226,0.0009073586,0.001521447],"category_scores_gemma":[0.002121788,0.0004835273,0.0004103927,0.0004042365,0.0006498809,0.0003440101,0.0005399303,0.0006799706,0.000917302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005340934,"about_ca_system_score_gemma":0.0004405359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003509458,"about_ca_topic_score_gemma":0.0008198685,"domain_scores_codex":[0.9973286,0.0005215028,0.0001804709,0.0007199615,0.001128605,0.0001207914],"domain_scores_gemma":[0.999139,0.0003629556,0.0001509014,0.00009156937,0.0002044679,0.00005109266],"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":[0.0001517936,0.0000798687,0.00688122,0.0001431795,0.00004525761,0.00007740771,0.00006173093,0.001519068,0.9677931,0.0003485362,0.0003185381,0.02258027],"study_design_scores_gemma":[0.00002850435,0.0005763709,0.01636811,0.00003435341,0.00006955839,0.0006452839,0.00003168447,0.01832868,0.9563178,0.000391077,0.007173955,0.00003460872],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5205896,0.003582166,0.4646046,0.0004011008,0.0002004595,0.001055162,0.00228548,0.002350398,0.004931125],"genre_scores_gemma":[0.6196693,0.001142296,0.369249,0.0004417621,0.00005547695,0.001477849,0.003098238,0.0001418883,0.004724258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002004812,"threshold_uncertainty_score":0.01060259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01823558725128876,"score_gpt":0.308738570709537,"score_spread":0.2905029834582482,"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."}}