{"id":"W4408602445","doi":"10.1016/j.esmoop.2025.104496","title":"How we treat patients with metastatic uveal melanoma","year":2025,"lang":"en","type":"review","venue":"ESMO Open","topic":"Ocular Oncology and Treatments","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Melanoma; Metastatic melanoma; Medicine; Oncology; Dermatology; Internal medicine; Cancer research","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00009360222,0.0004357521,0.002244187,0.0001570538,0.0000951355,0.00007878706,0.0003435847,0.0002061954,0.0002413146],"category_scores_gemma":[0.00005305314,0.000248903,0.0002573088,0.0002718596,0.00005933754,0.0001164964,0.0002148908,0.0002858317,0.0001958218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001939521,"about_ca_system_score_gemma":0.0007447972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008331867,"about_ca_topic_score_gemma":0.00007941395,"domain_scores_codex":[0.9985985,0.0002054476,0.000259402,0.000478978,0.0001976648,0.0002600061],"domain_scores_gemma":[0.9988601,0.000158815,0.0002163899,0.0005737907,0.00006200679,0.0001288585],"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":[0.00009760919,0.0006041298,0.002099165,0.008782179,0.002397781,0.0006077953,0.00002167845,8.047555e-9,4.474558e-10,0.00009089295,0.003984712,0.9813141],"study_design_scores_gemma":[0.003638508,0.0009748878,0.00062662,0.01395365,0.01108272,0.00004480182,0.000008068472,7.438276e-8,3.613003e-7,0.00002533727,0.9694436,0.0002013706],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001875471,0.9695521,0.000006195635,0.0004973746,0.0001631268,0.00425152,0.0001313692,0.00002742986,0.02535213],"genre_scores_gemma":[0.00003233575,0.9252521,0.001123335,0.0001071958,0.00003527355,0.0004855079,0.001696914,0.00004477,0.07122259],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9811127,"threshold_uncertainty_score":0.9999963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04631508802085058,"score_gpt":0.3622912821502412,"score_spread":0.3159761941293906,"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."}}