{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001201142,0.0001587939,0.0003300869,0.0001634441,0.00005447405,0.000005025831,0.00005060659,0.00003886302,0.00000605465],"category_scores_gemma":[0.00003159084,0.0001357696,0.00008709512,0.0003491558,0.00005847435,0.00001884949,0.00008412809,0.00006326362,0.00002668546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002168575,"about_ca_system_score_gemma":0.00004659065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000758954,"about_ca_topic_score_gemma":0.000139526,"domain_scores_codex":[0.9989991,0.00003834832,0.0002880216,0.0003062793,0.000165652,0.0002025767],"domain_scores_gemma":[0.9993083,0.00002958346,0.00008242896,0.0003251751,0.0001806607,0.000073857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001213032,0.002994052,0.6686111,0.001440576,0.002148967,0.01766635,0.02401396,0.00008407504,0.1695025,0.001363049,0.005624126,0.1053382],"study_design_scores_gemma":[0.00778226,0.007636857,0.7134876,0.0001520379,0.002313966,0.001537898,0.005171072,0.0002305247,0.25321,0.001038152,0.006437709,0.001001894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.918987,0.07919072,0.0004310431,0.0004111912,0.0001295894,0.0007094019,0.00001280005,0.00001581622,0.0001123757],"genre_scores_gemma":[0.9966561,0.002160275,0.0003947759,0.000357011,0.0001465421,0.0002480313,0.000008783853,0.00002123125,0.000007206985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1043363,"threshold_uncertainty_score":0.5536525,"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."}}