{"id":"W2153527654","doi":"10.1089/thy.2015.0114","title":"Immunohistochemical Subcellular Localization of Protein Biomarkers Distinguishes Benign from Malignant Thyroid Nodules: Potential for Fine-Needle Aspiration Biopsy Clinical Application","year":2015,"lang":"en","type":"article","venue":"Thyroid","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research","keywords":"Thyroid nodules; Medicine; Biomarker; Biopsy; Malignancy; Fine-needle aspiration; Immunohistochemistry; Thyroid; Pathology; Radiology; Surgical pathology; Internal medicine; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000495933,0.0002732459,0.000557981,0.00008942664,0.00008284166,0.00002550419,0.0001580913,0.0002364684,0.00001783754],"category_scores_gemma":[0.0003424189,0.0002388617,0.0002746983,0.0002209967,0.0001806821,0.00008825366,0.00005293951,0.0001138076,0.00002584989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002476088,"about_ca_system_score_gemma":0.0002109523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007676452,"about_ca_topic_score_gemma":0.00002072893,"domain_scores_codex":[0.9976984,0.00008246356,0.0009284579,0.0005846688,0.0004230482,0.0002829756],"domain_scores_gemma":[0.9982089,0.00008515619,0.0004477842,0.0005956073,0.0004320981,0.0002304342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004251677,0.002594054,0.01729042,0.0002216237,0.0006506196,0.00002741165,0.0005584074,0.0002604633,0.9497064,0.0008888361,0.007140748,0.0164093],"study_design_scores_gemma":[0.03235485,0.01019427,0.01651412,0.0008584998,0.002440128,0.0000576515,0.001143676,0.05183334,0.8663853,0.006467757,0.01029721,0.001453119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8455757,0.005625245,0.1445366,0.0005490995,0.0003743336,0.002710886,0.0002103129,0.0001239488,0.0002938423],"genre_scores_gemma":[0.9882946,0.00003655913,0.008254484,0.00006839926,0.0005481836,0.0005748046,0.002067915,0.00005412813,0.0001009451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1427189,"threshold_uncertainty_score":0.9740497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02912955679426053,"score_gpt":0.3015967415638152,"score_spread":0.2724671847695546,"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."}}