{"id":"W1611067671","doi":"10.1016/j.mayocp.2015.06.001","title":"In Support of a Patient-Driven Initiative and Petition to Lower the High Price of Cancer Drugs","year":2015,"lang":"en","type":"article","venue":"Mayo Clinic Proceedings","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":144,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Cancer Institute; Chugai Pharmaceutical; Stand Up To Cancer; Astellas Pharma; Incyte; Astex Pharmaceuticals; School of Medicine, Boston University; Clovis Oncology; Ariad Pharmaceuticals; Amgen; Pfizer; Pharmacyclics; Genentech; Sunesis; Teva Pharmaceutical Industries; Celgene; AstraZeneca; Eli Lilly and Company","keywords":"Medicine; Cancer drugs; Cancer; Drug prices; Inflation (cosmology); Cancer treatment; Family medicine; Internal medicine; Public economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005250415,0.0001056466,0.0003997856,0.0001509013,0.00001959897,0.00001666476,0.0001505098,0.00007797743,0.0002351406],"category_scores_gemma":[0.0003207637,0.00009951567,0.00004721177,0.000222436,0.0001041246,0.0003558626,0.00008777146,0.0001154596,0.00005263207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001037883,"about_ca_system_score_gemma":0.00007218114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006346708,"about_ca_topic_score_gemma":0.00004476297,"domain_scores_codex":[0.9988031,0.000003149977,0.0007206164,0.0002436375,0.00004091384,0.0001885942],"domain_scores_gemma":[0.9990321,0.00004798461,0.0006084146,0.00008958082,0.0001355609,0.00008629682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001050773,0.0005136007,0.6911679,0.0002934141,0.0001540157,0.000003173835,0.0689825,0.00005979455,0.00007893367,0.1623698,0.0706216,0.004704464],"study_design_scores_gemma":[0.005621746,0.003510862,0.3987447,0.0003126244,0.00004732161,0.000004531583,0.006437693,0.0002591823,0.002025417,0.1531865,0.4288276,0.001021935],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698212,0.0003445764,0.00001541432,0.003082309,0.0003317053,0.0002844833,0.0001356805,0.000005824642,0.02597883],"genre_scores_gemma":[0.9970094,0.0002876951,0.0001907848,0.001998841,0.00008054778,0.00005337776,0.000001577506,0.00001360283,0.0003641583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.358206,"threshold_uncertainty_score":0.4058131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03920917843343641,"score_gpt":0.278029834637103,"score_spread":0.2388206562036666,"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."}}