{"id":"W2890751747","doi":"10.1101/mcs.a002568","title":"Application of genomics to identify therapeutic targets in recurrent pediatric papillary thyroid carcinoma","year":2018,"lang":"en","type":"article","venue":"Molecular Case Studies","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency; BC Children's Hospital; University of British Columbia","funders":"Common Fund; NIH Office of the Director; National Human Genome Research Institute; Loxo Oncology; National Cancer Institute; BC Cancer Foundation; National Institutes of Health; Genome British Columbia; Genome Canada","keywords":"Thyroid carcinoma; Medicine; Papillary thyroid cancer; Thyroid cancer; Thyroid; Fusion gene; Cancer research; Oncology; Internal medicine; Biology; Gene; 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":[0.0004696585,0.0001886925,0.0003216594,0.0008545748,0.000227237,0.0006780108,0.0002087784,0.0003368245,0.0006188729],"category_scores_gemma":[0.001059314,0.0001341211,0.0002609752,0.0007281327,0.0001982827,0.0002318245,0.0003475633,0.0003655184,0.000131719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006118556,"about_ca_system_score_gemma":0.0005548132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002237482,"about_ca_topic_score_gemma":0.003438184,"domain_scores_codex":[0.9998363,0.00004293013,0.000009327095,0.00004408344,0.00004234311,0.00002503916],"domain_scores_gemma":[0.9997457,0.0001088069,0.00006451629,0.00001930946,0.0000355278,0.00002621932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"case_report","study_design_scores_codex":[0.0008744521,0.0002093519,0.374236,0.0004967597,0.0003441216,0.004686344,0.0009408072,0.0110671,0.2716662,0.004014404,0.005064089,0.3264003],"study_design_scores_gemma":[0.0001552184,0.001271566,0.7076883,0.0003545047,0.001081625,0.01580256,0.002466956,0.05426745,0.1265922,0.01288243,0.07733408,0.000103126],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699583,0.007747634,0.01198404,0.002435732,0.00005700883,0.00008366802,0.002149409,0.0002681795,0.005316042],"genre_scores_gemma":[0.9780241,0.003390147,0.01644239,0.0005524315,0.00004052013,0.00003659847,0.0009932603,0.00004581764,0.0004746511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002237482,"threshold_uncertainty_score":0.00444895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02383542456462631,"score_gpt":0.339243318541918,"score_spread":0.3154078939772916,"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."}}