{"id":"W2041444867","doi":"10.1016/j.amjsurg.2005.01.028","title":"Can cytology accurately predict benign follicular nodules?","year":2005,"lang":"en","type":"article","venue":"The American Journal of Surgery","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"","keywords":"Medicine; Thyroid nodules; Nodule (geology); Thyroid; Biopsy; Radiology; Adenoma; Follicular phase; Surgical pathology; Medical diagnosis; Predictive value; Cytology; Fine-needle aspiration; Pathology; Internal medicine","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":[0.001930284,0.0007319032,0.00129401,0.002619765,0.0006611203,0.002002053,0.0009205622,0.002508283,0.003260219],"category_scores_gemma":[0.0252449,0.000640908,0.0006328576,0.000923408,0.00131186,0.002951298,0.0005343154,0.001282844,0.002104143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007166134,"about_ca_system_score_gemma":0.001030119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004177778,"about_ca_topic_score_gemma":0.00632444,"domain_scores_codex":[0.998854,0.0002598139,0.0001628153,0.00009504644,0.0004439306,0.0001844141],"domain_scores_gemma":[0.9900616,0.004861236,0.0009682724,0.0006360165,0.002640622,0.0008322136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005930271,0.00007393497,0.9248055,0.0001589152,0.00008237187,0.00292188,0.000116953,0.0003199495,0.002769046,0.0002626918,0.004101263,0.06379452],"study_design_scores_gemma":[0.0002814959,0.001038245,0.8819321,0.0006603192,0.000954456,0.05410677,0.002059378,0.0157783,0.008116018,0.005436457,0.02953178,0.0001047738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8951079,0.04833905,0.003521743,0.01978084,0.003597027,0.0001131126,0.0004739981,0.000301661,0.02876465],"genre_scores_gemma":[0.9890946,0.005937997,0.001349595,0.0009994416,0.001461412,0.00002054138,0.000222424,0.0000263458,0.0008877646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004177778,"threshold_uncertainty_score":0.01090652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04059052980649319,"score_gpt":0.2965507283940295,"score_spread":0.2559601985875363,"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."}}