{"id":"W2142581342","doi":"10.1002/cncr.29624","title":"Reply to price and value in cancer care","year":2015,"lang":"en","type":"letter","venue":"Cancer","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. National Library of Medicine; Agency for Healthcare Research and Quality; Centers for Disease Control and Prevention; National Science Foundation","keywords":"Medicine; Value (mathematics); Cancer drugs; Government (linguistics); Drug prices; Actuarial science; Cancer; Drug; Health care; Quality (philosophy); Family medicine; Public economics; Economics; Economic growth; Pharmacology; Statistics; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01188079,0.00091756,0.001967891,0.001226195,0.002798253,0.004247242,0.003419781,0.04015269,0.005878672],"category_scores_gemma":[0.1060188,0.0008920493,0.001654788,0.001751701,0.005269173,0.008142289,0.002140268,0.05496993,0.003450069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005191579,"about_ca_system_score_gemma":0.00462943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002989189,"about_ca_topic_score_gemma":0.003102302,"domain_scores_codex":[0.9914753,0.003165396,0.001118756,0.001057468,0.002462414,0.0007207047],"domain_scores_gemma":[0.9161771,0.06119797,0.003282427,0.001652828,0.0144858,0.003204],"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":[0.00003638698,0.000007727158,0.000166304,0.00009620791,0.00001852103,0.0002169332,0.0001227979,0.00003373353,0.00003058695,0.002564319,0.9925206,0.00418586],"study_design_scores_gemma":[0.000142735,0.0000734449,0.000991912,0.0009095229,0.00006177342,0.001378326,0.0008862941,0.0003752504,0.0002997459,0.01449947,0.980249,0.0001326084],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001123434,0.001410663,0.00006304024,0.9680512,0.02996224,0.000002988947,0.00002548786,0.000009636073,0.000362364],"genre_scores_gemma":[0.002482984,0.001568407,0.0001089495,0.9158684,0.07900292,0.00001625392,0.0000147294,0.00001845128,0.0009189335],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04015269,"threshold_uncertainty_score":0.06283236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04569606019436147,"score_gpt":0.2650312645268894,"score_spread":0.2193352043325279,"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."}}