{"id":"W2097095972","doi":"10.1245/s10434-012-2609-7","title":"Preoperative Axillary Ultrasound and Fine-needle Aspiration Biopsy in the Diagnosis of Axillary Metastases in Patients with Breast Cancer: Predictors of Accuracy and Future Implications","year":2012,"lang":"en","type":"article","venue":"Annals of Surgical Oncology","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Medicine; Surgical oncology; Breast cancer; Axilla; Fine-needle aspiration; Radiology; Biopsy; Ultrasound; General surgery; Surgery; Cancer; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001527437,0.0001072707,0.00025901,0.00004662875,0.00002592934,0.000002307817,0.00006069426,0.00008886613,0.000007859358],"category_scores_gemma":[0.00002204512,0.00006709107,0.00002831571,0.0001476177,0.0002335396,0.0000197249,0.00004511853,0.00004951762,4.270262e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008409864,"about_ca_system_score_gemma":0.00004677696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002645756,"about_ca_topic_score_gemma":0.0002173031,"domain_scores_codex":[0.9992654,0.0001330548,0.0002407141,0.0001460881,0.00007751149,0.0001372758],"domain_scores_gemma":[0.9993386,0.0002044849,0.0001673032,0.0001198565,0.0001360581,0.00003368008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003667997,0.0006188587,0.9894228,0.00002515835,0.000126499,7.068294e-7,0.0005386153,0.000007028311,0.0003458935,0.00008375716,0.0001417139,0.008322194],"study_design_scores_gemma":[0.001031477,0.0005812341,0.9916793,0.00001908982,0.00004360421,0.00002049142,0.000315042,1.779883e-7,0.002693933,0.000009747466,0.00354262,0.00006327889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907691,0.006288554,6.314494e-7,0.002043635,0.00002401905,0.000254221,0.0005226217,0.000001142988,0.00009608707],"genre_scores_gemma":[0.9884302,0.01116853,0.00003873648,0.00007505355,0.0000633949,0.0001127973,0.0001052483,0.000005230235,8.278365e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008258916,"threshold_uncertainty_score":0.2735895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02099947317062445,"score_gpt":0.3105421597270313,"score_spread":0.2895426865564069,"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."}}