{"id":"W4408345170","doi":"10.1001/jamadermatol.2025.0113","title":"Risk Prediction Models for Sentinel Node Positivity in Melanoma","year":2025,"lang":"en","type":"review","venue":"JAMA Dermatology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Sentinel lymph node; Data extraction; MEDLINE; Statistic; Predictive modelling; Meta-analysis; Risk assessment; Statistics; Internal medicine; Machine learning; Computer science; Cancer; Breast cancer","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000210515,0.0003681462,0.001882345,0.0007715824,0.00007853565,0.00002872228,0.0001253383,0.0007024138,0.0000248034],"category_scores_gemma":[0.0002116349,0.0003323696,0.0005221235,0.0003443394,0.00004065261,0.00006625969,0.0001090848,0.0005721868,0.00003668581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00022295,"about_ca_system_score_gemma":0.0002278265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000513964,"about_ca_topic_score_gemma":0.00003897005,"domain_scores_codex":[0.9978563,0.0002683775,0.0008033253,0.0005571673,0.0001387521,0.0003761103],"domain_scores_gemma":[0.9986097,0.0004390428,0.0003314257,0.0004539219,0.00007672111,0.00008923441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001845477,0.0002950588,0.0003109906,0.05073028,0.0005964172,0.0007938406,0.00004637478,0.00002357997,6.740505e-7,0.001367542,0.02015275,0.9254979],"study_design_scores_gemma":[0.001549475,0.00004995704,0.00006132755,0.00522312,0.002032914,0.004288422,0.00001500417,0.006056265,0.000002996306,0.000370942,0.9801267,0.0002229155],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006381579,0.9730033,0.01009312,0.0007626884,0.0008506748,0.003156697,0.0002706638,0.0001944142,0.01160466],"genre_scores_gemma":[0.000431907,0.9954033,0.000403602,0.000452483,0.0001630739,0.0007544257,0.0004670581,0.00004384157,0.001880336],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9599739,"threshold_uncertainty_score":0.9999129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02352995827496133,"score_gpt":0.304164330424498,"score_spread":0.2806343721495366,"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."}}