{"id":"W4404947648","doi":"10.1377/hlthaff.2023.01244","title":"US Trends In Anticancer Medicine Pricing And The Impact Of Competition, 2014–20","year":2024,"lang":"en","type":"article","venue":"Health Affairs","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Biosimilar; Competition (biology); Drug prices; Inflation (cosmology); Medicine; Business; Public economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001367243,0.0001718655,0.0002503736,0.001847026,0.0001956081,0.001607896,0.0003499739,0.0005359345,0.002279903],"category_scores_gemma":[0.008521699,0.0001701008,0.0007090232,0.003850627,0.0002910988,0.001146191,0.0006265684,0.0009503763,0.0003381008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002745135,"about_ca_system_score_gemma":0.0008803764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05263225,"about_ca_topic_score_gemma":0.03465008,"domain_scores_codex":[0.999112,0.0001988292,0.0001245596,0.0001433435,0.000264749,0.0001564646],"domain_scores_gemma":[0.9940578,0.001325232,0.003149706,0.0001487201,0.00107039,0.0002480925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008494472,0.0001991951,0.9391794,0.0001334824,0.0003290316,0.0001600336,0.0001830467,0.008831514,0.0005681547,0.006892791,0.01662607,0.02604776],"study_design_scores_gemma":[0.00002553525,0.0001474741,0.9740056,0.00004360436,0.00007127274,0.000235073,0.0002237888,0.008359866,0.0005020669,0.0007384067,0.01562133,0.00002604398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9451767,0.003545616,0.001383215,0.003007673,0.00006454081,0.00002448072,0.0356657,0.000100221,0.01103177],"genre_scores_gemma":[0.9733203,0.0009431066,0.000550586,0.0003570073,0.0001027741,0.00002001838,0.02278884,0.00002304237,0.001894305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05263225,"threshold_uncertainty_score":0.1046517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04725622406417194,"score_gpt":0.3620782030402909,"score_spread":0.314821978976119,"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."}}