{"id":"W7117699675","doi":"10.3390/cancers18010121","title":"Metastatic Uveal Melanoma Surveillance: A Delphi Panel Consensus","year":2025,"lang":"en","type":"article","venue":"Cancers","topic":"Ocular Oncology and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Alberta","funders":"National Cancer Institute","keywords":"Melanoma; Delphi method; Delphi; Clinical Practice; MEDLINE; Metastatic melanoma","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2203751,0.001120696,0.001027885,0.002829833,0.004827412,0.003846399,0.002616878,0.003752191,0.003166796],"category_scores_gemma":[0.1555428,0.001076346,0.001852194,0.001651355,0.003549442,0.004428435,0.01331179,0.004613744,0.0008328489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008169491,"about_ca_system_score_gemma":0.03023222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003431779,"about_ca_topic_score_gemma":0.003762008,"domain_scores_codex":[0.7510392,0.2123102,0.01210806,0.004386424,0.01272138,0.007434787],"domain_scores_gemma":[0.8787518,0.07501389,0.004154212,0.003156334,0.03290044,0.006023305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001235474,0.001006134,0.0324596,0.009020611,0.000496031,0.002569604,0.5690483,0.004428503,0.007828093,0.01711033,0.06869249,0.2861048],"study_design_scores_gemma":[0.0006836117,0.002090018,0.02488676,0.02283288,0.0003898,0.002832025,0.7008634,0.01498357,0.004618634,0.02960007,0.1955403,0.0006788178],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7109023,0.005960104,0.06945374,0.1164015,0.003031445,0.04866623,0.001298279,0.0001946757,0.04409162],"genre_scores_gemma":[0.8820974,0.003832436,0.07155288,0.01713862,0.0003357771,0.02210492,0.0004769773,0.00005626282,0.002404674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2203751,"threshold_uncertainty_score":0.9614163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03473382477907162,"score_gpt":0.3271376747083662,"score_spread":0.2924038499292946,"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."}}