{"id":"W4365144168","doi":"10.1101/2023.04.10.23288365","title":"The genomic and evolutionary landscapes of anaplastic thyroid carcinoma","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Saskatchewan; University of Toronto; Hospital for Sick Children; BC Cancer Agency; Ontario Institute for Cancer Research; Lawson Health Research Institute; Western University","funders":"National Cancer Institute; Canadian Institutes of Health Research; University of Texas MD Anderson Cancer Center; Ontario Genomics Institute; London Health Sciences Foundation; Government of Ontario; Florida Department of Health; Instituto Tecnológico de Costa Rica; National Institutes of Health; Ontario Genomics; Genome Canada; Government of Canada; Ontario Institute for Cancer Research; Mayo Clinic","keywords":"Anaplastic thyroid cancer; Thyroid carcinoma; Thyroid; Thyroid cancer; Malignancy; Cancer research; Biology; Anaplastic carcinoma; Cancer; Pathology; 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":[0.0002560311,0.0001043361,0.0001951807,0.0009599252,0.0004378289,0.0007292263,0.0002044882,0.0003533097,0.001725781],"category_scores_gemma":[0.0008895039,0.0001182657,0.0001388871,0.000839878,0.000411532,0.0003623746,0.0005224932,0.0002874958,0.0002555324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004766599,"about_ca_system_score_gemma":0.0001896058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00110608,"about_ca_topic_score_gemma":0.001432805,"domain_scores_codex":[0.9998,0.0000488285,0.000006573128,0.00006765829,0.00003915332,0.0000377153],"domain_scores_gemma":[0.9996909,0.0001071849,0.000084953,0.00002238859,0.00004061166,0.00005393328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008252501,0.0001212054,0.5688272,0.000244233,0.0003041141,0.00166658,0.002277446,0.009691845,0.327365,0.01414734,0.00164117,0.0728885],"study_design_scores_gemma":[0.00001349931,0.0001834954,0.9631419,0.00002301141,0.00007556398,0.002106271,0.001574215,0.006579629,0.006078773,0.01152081,0.008675189,0.00002743899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957437,0.0008685456,0.0006254521,0.0002247665,0.000002683581,0.000004240274,0.0003213254,0.00001217429,0.002197019],"genre_scores_gemma":[0.9984894,0.0003681771,0.0003304539,0.00005421872,0.000007500691,0.000004901372,0.0003660787,0.000007303553,0.0003719581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001725781,"threshold_uncertainty_score":0.005773365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02167795655720058,"score_gpt":0.2591961114844202,"score_spread":0.2375181549272196,"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."}}