{"id":"W4416106061","doi":"10.1093/jnci/djaf307","title":"Patient and population impacts of multigene panel and pembrolizumab coverage in metastatic melanoma","year":2025,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; BC Cancer Foundation; Spinal Cord Injury BC; Simon Fraser University; BC Cancer Agency; Fraser Health; University of British Columbia; Women's Health Research Institute","funders":"Genome British Columbia; Genome Canada","keywords":"Pembrolizumab; Metastatic melanoma; Population; Melanoma; Overall survival","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001942289,0.0001592017,0.0001914068,0.0004494604,0.0003105841,0.0007240377,0.000433047,0.0004081917,0.001028241],"category_scores_gemma":[0.006342683,0.0001402246,0.0004164512,0.0008877512,0.0003060989,0.000251137,0.000554749,0.0006676504,0.00006146991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005618811,"about_ca_system_score_gemma":0.002639859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2800913,"about_ca_topic_score_gemma":0.3380215,"domain_scores_codex":[0.998654,0.0005147019,0.00005820298,0.0002430134,0.0002960932,0.0002339562],"domain_scores_gemma":[0.9970194,0.0007883288,0.001427812,0.0001839716,0.0003169765,0.0002634982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001435093,0.00004976047,0.9918861,0.00001011233,0.0001248788,0.00007460476,0.00006991913,0.002691141,0.0001244486,0.0001147809,0.0002396628,0.004471077],"study_design_scores_gemma":[0.000008755344,0.00007486268,0.995713,0.00001037334,0.00006664237,0.00009260923,0.0001235399,0.003311445,0.0001238594,0.00009668051,0.0003735212,0.000004643254],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988444,0.0001612962,0.000113193,0.000182394,0.000002208734,0.000007674792,0.0003277493,0.000003012899,0.0003579971],"genre_scores_gemma":[0.9995854,0.00005249721,0.00008272118,0.00003969865,0.000001911593,0.000004752714,0.0001603685,8.944898e-7,0.00007175189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2800913,"threshold_uncertainty_score":0.556922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03110063844315697,"score_gpt":0.3163657457968774,"score_spread":0.2852651073537204,"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."}}