{"id":"W4361823160","doi":"10.1158/0008-5472.c.6513559.v1","title":"Data from Diverse Oncogenic Fusions and Distinct Gene Expression Patterns Define the Genomic Landscape of Pediatric Papillary Thyroid Carcinoma","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Hospital for Sick Children; Ontario Institute for Cancer Research; University of Toronto","funders":"National Cancer Institute; Ontario Ministry of Research and Innovation; Hospital for Sick Children","keywords":"Thyroid carcinoma; Exome sequencing; Biology; Transcriptome; Cancer research; Exome; Gene; Fusion gene; Copy-number variation; Thyroid; Receptor tyrosine kinase; Candidate gene; Gene expression; Genetics; Genome; Mutation; Receptor","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":[0.0002492237,0.0001445709,0.0002561461,0.0007948754,0.0002004287,0.0004860195,0.00012599,0.0002036874,0.0009436017],"category_scores_gemma":[0.0007842245,0.000140011,0.0002499865,0.001039651,0.0002618795,0.0002083299,0.0003230916,0.0002324338,0.0002116457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002254714,"about_ca_system_score_gemma":0.0001848677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001030103,"about_ca_topic_score_gemma":0.001792353,"domain_scores_codex":[0.9997432,0.00002638722,0.00002399438,0.00007169945,0.00008388194,0.00005091929],"domain_scores_gemma":[0.9995762,0.0001666244,0.00009241058,0.00004446684,0.00007611962,0.00004410065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006565294,0.00002844698,0.7153099,0.0001639072,0.0001251544,0.002055878,0.0006732314,0.001035984,0.2465319,0.0003473305,0.0006229883,0.03244884],"study_design_scores_gemma":[0.000008093308,0.00006318509,0.9741363,0.00001391875,0.00009213485,0.005550476,0.0004275688,0.0009601139,0.0152673,0.000253488,0.003218088,0.000009313581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9964743,0.0006714559,0.000939052,0.00003992549,0.000001879553,0.000006391447,0.001197395,0.00002116063,0.0006483173],"genre_scores_gemma":[0.9959016,0.0006166624,0.0009178416,0.0000370104,0.000004447001,0.00001426808,0.002362345,0.00002431872,0.0001215645],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.001030103,"threshold_uncertainty_score":0.003156662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07643757766122143,"score_gpt":0.2930997395011917,"score_spread":0.2166621618399702,"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."}}