{"id":"W1520894258","doi":"10.1002/cncy.20166","title":"Maximizing the yield of lymph node cytology","year":2011,"lang":"en","type":"article","venue":"Cancer Cytopathology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Lung cancer; Radiology; Lymph node; Lymph; Mediastinal lymph node; Cancer; Endobronchial ultrasound; Fine-needle aspiration; Pathology; Biopsy; Internal medicine; Metastasis","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":[0.0001129205,0.0001239802,0.0003531532,0.00005370437,0.00004836312,0.000001828466,0.0001215633,0.000103632,0.0007222511],"category_scores_gemma":[0.00004200777,0.00007719074,0.0001037586,0.0001067952,0.0002384756,0.00002259988,0.00005408353,0.000104758,0.00002739269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001259217,"about_ca_system_score_gemma":0.0001479986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005078481,"about_ca_topic_score_gemma":0.00006535315,"domain_scores_codex":[0.9991587,0.0000420254,0.0002272105,0.0002401504,0.00008502927,0.0002469206],"domain_scores_gemma":[0.999259,0.00007647913,0.0001121914,0.0004163104,0.00007687889,0.00005917446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003067317,0.0002351475,0.9787588,0.00009647828,0.0001315017,0.0003247536,0.001735275,0.00000329715,0.003536565,0.003244587,0.001154292,0.01047263],"study_design_scores_gemma":[0.001705789,0.0003673081,0.9442929,0.0001687531,0.0004627448,0.0006083428,0.0002534782,0.00001209433,0.04824486,0.0006477751,0.003102029,0.0001339491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682965,0.004984866,0.0001933518,0.003457175,0.0007372586,0.0002975274,0.00002188856,0.00004361465,0.02196786],"genre_scores_gemma":[0.9956552,0.0009683486,0.0005929081,0.00219923,0.0001351704,0.0002042578,0.000002995539,0.00001772034,0.0002241865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0447083,"threshold_uncertainty_score":0.7908143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06146146409889201,"score_gpt":0.3012307963816615,"score_spread":0.2397693322827695,"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."}}