{"id":"W4317434275","doi":"10.1167/iovs.64.1.15","title":"Cytogenetic Abnormalities for Predicting the Risk of Metastases in Choroidal and Ciliary Body Melanoma","year":2023,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Ocular Oncology and Treatments","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Monosomy; Melanoma; Metastasis; Oncology; Internal medicine; Proportional hazards model; Chromosome 3; Pathology; Medicine; Cancer; Chromosome; Cytogenetics; Cancer research; Biology; Karyotype; Genetics","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":[0.0004390207,0.0003480522,0.0001930848,0.001120124,0.0001871978,0.0002444005,0.0002122536,0.0003833853,0.001319789],"category_scores_gemma":[0.002564596,0.0001047091,0.000277137,0.0005033442,0.0001854194,0.0001884403,0.0002313427,0.0003870353,0.0001864509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002318862,"about_ca_system_score_gemma":0.000300588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001987553,"about_ca_topic_score_gemma":0.002514388,"domain_scores_codex":[0.99985,0.00003658486,0.00002016364,0.00003125669,0.00004433212,0.00001760714],"domain_scores_gemma":[0.9991775,0.0002747569,0.0002940787,0.00002600471,0.00007506322,0.0001525221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002309859,0.00001110273,0.9940118,0.000008427876,0.0000233383,0.00007480808,0.00001100008,0.000392922,0.000898986,0.00001023769,0.00006425819,0.004262099],"study_design_scores_gemma":[0.00002205917,0.0001485945,0.9928121,0.00001176779,0.00005004351,0.0007644246,0.00004876677,0.005262205,0.0006318914,0.00007622861,0.0001672533,0.000004725391],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998904,0.0004096769,0.0003541317,0.00004626791,0.000004925703,0.00000824344,0.0001141084,0.000007835892,0.0001509045],"genre_scores_gemma":[0.9994416,0.00008615953,0.0002967897,0.000004808765,0.000004890234,0.000003904271,0.0001133605,0.000001134824,0.00004730266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001987553,"threshold_uncertainty_score":0.004415154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04384350188949061,"score_gpt":0.3573021718653044,"score_spread":0.3134586699758138,"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."}}