{"id":"W4409865504","doi":"10.1007/s40258-025-00970-z","title":"The Health Economics of Genomic Technologies: A Growing Evidence Base on Value","year":2025,"lang":"en","type":"editorial","venue":"Applied Health Economics and Health Policy","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Health economics; Quality of Life Research; Health administration; Public health; Base (topology); Value (mathematics); Genomic medicine; Economics; Medicine; Public economics; Biology; Mathematics; Nursing; Computational biology; Statistics","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":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.04715007,0.0011585,0.00578983,0.001908998,0.002426717,0.0003367327,0.001803439,0.001342854,0.00001730635],"category_scores_gemma":[0.004051488,0.001337345,0.0004325315,0.0004594476,0.0005370523,0.000420446,0.0006535729,0.002084726,0.0003161817],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01175451,"about_ca_system_score_gemma":0.02879798,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03792135,"about_ca_topic_score_gemma":0.003937251,"domain_scores_codex":[0.9791219,0.0006979434,0.01472146,0.002574824,0.0001965495,0.002687276],"domain_scores_gemma":[0.9688324,0.01002274,0.01733613,0.002709678,0.000130226,0.000968838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007318332,0.00006374157,0.00003342503,0.00394647,0.0001207057,1.124937e-7,0.0008274014,0.0003470184,4.437043e-8,0.500698,0.4864722,0.00741771],"study_design_scores_gemma":[0.00131912,0.0006983158,0.0001936945,0.001257877,0.000009394278,0.000001963644,0.001329525,0.00115129,9.899182e-7,0.04872995,0.9445261,0.000781715],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.00117177,0.07075564,0.0002721856,0.7659965,0.1475361,0.006481385,0.005352622,0.000286621,0.002147239],"genre_scores_gemma":[0.003729857,0.6951258,0.002955968,0.1447618,0.1502098,0.001412288,0.0005682663,0.0003699894,0.0008662558],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.6243701,"threshold_uncertainty_score":0.9999536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2751034635917529,"score_gpt":0.473487713287172,"score_spread":0.1983842496954191,"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."}}