{"id":"W4380538815","doi":"10.1089/ct.2023;35.236-238","title":"Use of Multigene Panel Germline Sequencing to Identify a Thyroid Cancer Predisposition","year":2023,"lang":"en","type":"article","venue":"Clinical Thyroidology","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"","keywords":"Germline; Medicine; Thyroid cancer; Thyroid; Library science; Anaplastic thyroid cancer; Oncology; General surgery; Internal medicine; Genetics; Biology; Gene","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":[0.0005020641,0.0004859686,0.000270284,0.002185276,0.0005586751,0.0006661548,0.0003280168,0.0008924438,0.002056656],"category_scores_gemma":[0.001381501,0.0002330578,0.0004925822,0.0004916518,0.0002038025,0.0002783052,0.0004856556,0.0006864622,0.0003087299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003696196,"about_ca_system_score_gemma":0.0004066816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002729571,"about_ca_topic_score_gemma":0.006720063,"domain_scores_codex":[0.9995574,0.00006711362,0.00002897117,0.0001581732,0.0001272499,0.0000610359],"domain_scores_gemma":[0.9994813,0.000273986,0.00004714254,0.00003814069,0.00007646176,0.0000829675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008896019,0.0002782893,0.414295,0.0001170543,0.0004328794,0.03786026,0.0006945901,0.003635366,0.4023328,0.001471689,0.003651542,0.1343409],"study_design_scores_gemma":[0.0001556856,0.001230175,0.5758617,0.0002845059,0.001087493,0.1534495,0.001161382,0.04480231,0.1910224,0.00473698,0.02609679,0.000111083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702302,0.001819353,0.01517793,0.001624967,0.0001695563,0.0001037232,0.00151218,0.0003778854,0.008984167],"genre_scores_gemma":[0.9905765,0.0003400745,0.007447323,0.0004462349,0.00003263205,0.00001366346,0.0003030091,0.00003144929,0.0008091027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002729571,"threshold_uncertainty_score":0.006880224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3673225326197303,"score_gpt":0.4878412419227155,"score_spread":0.1205187093029852,"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."}}