{"id":"W2621007532","doi":"10.3390/ijms18061184","title":"Gene Expression (mRNA) Markers for Differentiating between Malignant and Benign Follicular Thyroid Tumours","year":2017,"lang":"en","type":"review","venue":"International Journal of Molecular Sciences","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Narodowe Centrum Badań i Rozwoju; Fundacja na rzecz Nauki Polskiej; Deutsche Forschungsgemeinschaft","keywords":"Follicular thyroid cancer; Follicular phase; Pathology; Thyroid; Adenoma; Microarray; Gene expression profiling; Thyroid adenoma; Thyroid cancer; Gene expression; Gene; Immunohistochemistry; Real-time polymerase chain reaction; PAX8; Biology; Cancer research; Medicine; Internal medicine; Thyroid carcinoma; Genetics; Transcription factor","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":[0.007241833,0.0006469308,0.001803274,0.004388578,0.0003265229,0.001513118,0.0005494284,0.0006745845,0.0006351116],"category_scores_gemma":[0.008937406,0.0003195885,0.002401746,0.004144132,0.0004149675,0.0007628771,0.0003822139,0.0005342176,0.0001379153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000601794,"about_ca_system_score_gemma":0.0005502329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001381452,"about_ca_topic_score_gemma":0.001748111,"domain_scores_codex":[0.9970181,0.001104474,0.0004158003,0.0007821703,0.0005551393,0.0001244084],"domain_scores_gemma":[0.9934115,0.004807992,0.0008100281,0.0004724674,0.0003961635,0.0001019047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002117579,0.00008333353,0.8529242,0.002857716,0.02365859,0.0002340249,0.0001147139,0.002429121,0.01348585,0.0002353809,0.0007395524,0.10112],"study_design_scores_gemma":[0.0001891705,0.001020209,0.9161171,0.0006556481,0.05253011,0.001366644,0.00031376,0.008883557,0.01100405,0.001748842,0.006108542,0.00006239986],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.6653125,0.306292,0.02180553,0.0008353514,0.000241708,0.0001762689,0.003390982,0.0001924963,0.001753209],"genre_scores_gemma":[0.9746966,0.01475159,0.008562025,0.00020194,0.0001127334,0.0001142047,0.001305199,0.00002997566,0.0002258022],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.007241833,"threshold_uncertainty_score":0.0382989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07106750322652981,"score_gpt":0.3860583216782513,"score_spread":0.3149908184517215,"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."}}