{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004671074,0.0001450177,0.0003772249,0.001043155,0.0002914195,0.0007695103,0.0002746418,0.0003687954,0.001329079],"category_scores_gemma":[0.005494215,0.0001137064,0.000288645,0.001034409,0.0003059752,0.0003033121,0.0005995878,0.0003715333,0.0002836856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000933791,"about_ca_system_score_gemma":0.001044751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002221124,"about_ca_topic_score_gemma":0.00455404,"domain_scores_codex":[0.998364,0.0008495895,0.0001589107,0.000212378,0.0003297007,0.00008539336],"domain_scores_gemma":[0.9962598,0.001868398,0.0007206165,0.0001998389,0.0007194999,0.0002318623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001741,0.0001302399,0.7386059,0.0006231336,0.0002219492,0.0008781874,0.0005463348,0.002842825,0.01236144,0.0010443,0.006639355,0.2343654],"study_design_scores_gemma":[0.0004755458,0.002446535,0.8651435,0.001109917,0.0005110466,0.008256374,0.001370611,0.02265042,0.01556152,0.008427146,0.07396667,0.00008066299],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9382328,0.01889668,0.01724654,0.003385739,0.0002199266,0.0006724919,0.004983018,0.000226997,0.01613592],"genre_scores_gemma":[0.9794657,0.00363389,0.01332528,0.0008366047,0.0001218395,0.0002201541,0.0018431,0.0000223836,0.0005311777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004671074,"threshold_uncertainty_score":0.02470326,"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."}}