{"id":"W2937459542","doi":"10.14740/wjon1181","title":"Sentinel Lymph Node Biopsy in Patients With Thick Primary Cutaneous Melanoma","year":2019,"lang":"en","type":"article","venue":"World Journal of Oncology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Melanoma Institute Australia; Universidad del Rosario; Universidad Nacional de Rosario","keywords":"Medicine; Sentinel lymph node; Melanoma; Biopsy; Lymph node; Positron emission tomography; Histopathology; Radiology; Magnetic resonance imaging; Hazard ratio; Lymph; Sentinel node; Nuclear medicine; Pathology; Cancer; Internal medicine; Breast cancer; Confidence interval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002101574,0.0001379862,0.0005160135,0.0005625872,0.00002299684,0.00001026758,0.0001044561,0.00007495515,0.000535037],"category_scores_gemma":[0.00002338488,0.0001013247,0.00008864136,0.0003046053,0.0000435381,0.00005346404,0.00004620206,0.0003388723,0.0001127387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000528247,"about_ca_system_score_gemma":0.0002163565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001178287,"about_ca_topic_score_gemma":0.00001543817,"domain_scores_codex":[0.9987135,0.00007039112,0.0004900657,0.000157393,0.0003285923,0.0002400546],"domain_scores_gemma":[0.9990604,0.0000800553,0.0003833202,0.0001855085,0.000164685,0.000126041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004100106,0.0008546897,0.9742949,0.00007524597,0.0001654667,0.003357749,0.0001066718,0.00006759653,0.0007377572,0.00006637887,0.0008563023,0.01531716],"study_design_scores_gemma":[0.009991661,0.001378713,0.9151368,0.0001674026,0.0001296234,0.007998643,0.00008679995,0.00003811118,0.00003840688,0.00002511385,0.06486766,0.0001410834],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9462178,0.00005994166,0.00002438295,0.001512282,0.0006553397,0.0002337411,8.970926e-7,0.00001430739,0.05128135],"genre_scores_gemma":[0.9894517,0.00002052553,0.001113145,0.001916313,0.0001436436,0.000001853259,0.000004361377,0.00002180913,0.007326639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06401136,"threshold_uncertainty_score":0.585828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007297738829061718,"score_gpt":0.2389833725683154,"score_spread":0.2316856337392537,"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."}}