{"id":"W4387528576","doi":"10.3390/curroncol30100657","title":"Patient Derived Xenografts (PDX) Models as an Avatar to Assess Personalized Therapy Options in Uveal Melanoma: A Feasibility Study","year":2023,"lang":"en","type":"article","venue":"Current Oncology","topic":"Ocular Oncology and Treatments","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Melanoma; GNAQ; Malignancy; Oncology; Metastasis; Internal medicine; Disease; BAP1; Primary tumor; Cancer; Cancer research; Mutation; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008968026,0.0004621335,0.0003994165,0.0003264896,0.0002063908,0.0004792404,0.0002270791,0.000484113,0.001621716],"category_scores_gemma":[0.0003594086,0.0001464194,0.0004146972,0.0001570565,0.0002105174,0.0004141,0.0002869014,0.001096481,0.0002855841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002472812,"about_ca_system_score_gemma":0.0001896386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005193338,"about_ca_topic_score_gemma":0.0005042049,"domain_scores_codex":[0.9996649,0.0001188735,0.00002108312,0.00005530981,0.00009739935,0.00004251055],"domain_scores_gemma":[0.9996538,0.0001140406,0.00005054175,0.00006406007,0.00005001813,0.00006754751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007606646,0.001288334,0.002344454,0.00008516676,0.00003783681,0.0001340813,0.00006596811,0.0009055538,0.9881629,0.00032706,0.0002417445,0.005646366],"study_design_scores_gemma":[0.0002017761,0.03553035,0.01171245,0.00002788309,0.0001683353,0.00158681,0.00015898,0.01061692,0.933004,0.0002537931,0.006710523,0.00002819859],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897074,0.001009103,0.006634423,0.0001155186,0.000057823,0.0003323664,0.0005468104,0.00006354092,0.001533032],"genre_scores_gemma":[0.9890753,0.0009813899,0.00692512,0.00006580102,0.00001974264,0.0002005051,0.0008412953,0.00002735708,0.001863546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001621716,"threshold_uncertainty_score":0.005425215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3081725410883231,"score_gpt":0.4835564584050474,"score_spread":0.1753839173167243,"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."}}