{"id":"W2074907399","doi":"10.1007/s40273-013-0025-x","title":"What Evidence Is There for the Reimbursement of Personalised Medicine?","year":2013,"lang":"en","type":"letter","venue":"PharmacoEconomics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Capital District Health Authority","funders":"National Institute for Health and Care Research","keywords":"Health economics; Reimbursement; Quality of Life Research; Health administration; Public health; Medicine; Alternative medicine; Pharmacoeconomics; MEDLINE; Family medicine; Business; Health care; Intensive care medicine; Nursing; Economics; Political science; Economic growth","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":[0.03754231,0.0008398123,0.003684062,0.002250721,0.004402928,0.01077747,0.004035263,0.1021007,0.0127251],"category_scores_gemma":[0.1949492,0.001132035,0.002780043,0.002474426,0.01084071,0.01266618,0.00398095,0.07705828,0.004742469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01332231,"about_ca_system_score_gemma":0.02155697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02201549,"about_ca_topic_score_gemma":0.03559335,"domain_scores_codex":[0.9725562,0.01188696,0.003434576,0.002020759,0.007132357,0.002969249],"domain_scores_gemma":[0.7764546,0.1760807,0.01064847,0.003196863,0.01986791,0.01375144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00040803,0.0001105655,0.002940794,0.0004593537,0.0001667109,0.00170621,0.0002807282,0.0002361226,0.0002497712,0.04821495,0.9153623,0.02986448],"study_design_scores_gemma":[0.0006994717,0.0001380673,0.004544666,0.004083003,0.000284061,0.001945033,0.001173454,0.001596026,0.0003903824,0.131547,0.8533225,0.0002763515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001910768,0.001235374,0.00007306349,0.9943508,0.00267124,0.000003890798,0.00003222057,0.000004168067,0.001438177],"genre_scores_gemma":[0.003475155,0.00164005,0.0002728691,0.972014,0.02119099,0.00002014164,0.00002491006,0.00001444283,0.001347438],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1021007,"threshold_uncertainty_score":0.198545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5874732654311046,"score_gpt":0.5081335896968592,"score_spread":0.07933967573424539,"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."}}