{"id":"W4401541807","doi":"10.1245/s10434-024-15891-9","title":"Using Nomograms Wisely: Predicting Sentinel Node Positivity in Melanoma","year":2024,"lang":"en","type":"article","venue":"Annals of Surgical Oncology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"","keywords":"Nomogram; Medicine; Melanoma; Sentinel node; Biopsy; Oncology; Internal medicine; Lymphovascular invasion; Sentinel lymph node; Logistic regression; Radiology; Cancer; Surgery; Metastasis; Cancer research","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":[0.006145875,0.001328135,0.001225535,0.00445698,0.0007499852,0.002857405,0.0008452957,0.001128577,0.001777156],"category_scores_gemma":[0.03537741,0.000329132,0.001405955,0.001703653,0.0004502132,0.002331991,0.001016512,0.001499669,0.001053992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003409009,"about_ca_system_score_gemma":0.0007908111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001357773,"about_ca_topic_score_gemma":0.004195023,"domain_scores_codex":[0.9969014,0.001763933,0.0003621401,0.0002370104,0.0005763036,0.0001592731],"domain_scores_gemma":[0.9839277,0.01010671,0.00183066,0.0009310482,0.002500119,0.0007037639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006882446,0.0001203105,0.9436636,0.00008684228,0.0004463768,0.0002383277,0.00008091974,0.002227417,0.0005686153,0.0002088918,0.002888577,0.04878188],"study_design_scores_gemma":[0.0001829944,0.002408452,0.7427809,0.0004562555,0.00236483,0.007102337,0.002521679,0.2194425,0.004866344,0.006434028,0.01121787,0.0002217931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564095,0.005227271,0.02178053,0.002939697,0.001657482,0.000193877,0.002608603,0.0004465993,0.008736321],"genre_scores_gemma":[0.984697,0.0009886795,0.01170551,0.0002342214,0.0003840309,0.0000490092,0.001174295,0.00009186343,0.0006753193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006145875,"threshold_uncertainty_score":0.03250289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09162161850697825,"score_gpt":0.3874123293906739,"score_spread":0.2957907108836956,"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."}}