{"id":"W4220711770","doi":"10.1089/thy.2021.0542","title":"Clinical Application of Next-Generation Sequencing in Advanced Thyroid Cancers","year":2022,"lang":"en","type":"article","venue":"Thyroid","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Public Health Ontario; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Medicine; Medullary thyroid cancer; Thyroid cancer; Anaplastic thyroid cancer; Neuroblastoma RAS viral oncogene homolog; Papillary thyroid cancer; Oncology; Internal medicine; Cancer; Thyroid; Clinical trial; Bioinformatics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003968911,0.0001265786,0.0003531975,0.000112443,0.00008110166,0.000005580137,0.00009701434,0.00004346138,0.00008897374],"category_scores_gemma":[0.00003174514,0.0001250097,0.0001113639,0.0003429012,0.00004448736,0.00008401427,0.0000602043,0.0002335765,0.000009082922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001672608,"about_ca_system_score_gemma":0.0004484817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001022691,"about_ca_topic_score_gemma":0.0003922019,"domain_scores_codex":[0.9985127,0.00009774136,0.0005311922,0.0003518575,0.0003059635,0.0002005596],"domain_scores_gemma":[0.9992359,0.00006239312,0.0002007495,0.000369755,0.00004972041,0.00008143881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008515257,0.0007274795,0.1596624,0.00007871121,0.000140236,0.0000556483,0.001229534,0.02252043,0.6535944,0.001537587,0.003223094,0.156379],"study_design_scores_gemma":[0.04968431,0.02054511,0.4864852,0.0003330775,0.0009863161,0.0002401844,0.00950036,0.1242321,0.245245,0.001751807,0.05894265,0.002053995],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928713,0.004140946,0.0002126226,0.0005330989,0.0002138562,0.0006992958,0.00002398425,0.00003994307,0.001264932],"genre_scores_gemma":[0.9966928,0.0007297926,0.001032637,0.0005151237,0.000173357,0.0006066065,0.0001189789,0.00002271772,0.000108028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4083495,"threshold_uncertainty_score":0.5097747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06546528817636418,"score_gpt":0.3378355906655966,"score_spread":0.2723703024892324,"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."}}