{"id":"W1495803108","doi":"10.1002/cncr.22075","title":"Chemoprevention: Drug pricing and mortality","year":2006,"lang":"en","type":"article","venue":"Cancer","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Cancer Institute","keywords":"Tamoxifen; Medicine; Breast cancer; Endometrial cancer; Oncology; Incidence (geometry); Internal medicine; Gynecology; Cancer; Mortality rate; Demography; Obstetrics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001883826,0.0001012892,0.0002426007,0.00005233523,0.000074868,0.00004973104,0.00007739203,0.00004964898,0.0006244144],"category_scores_gemma":[0.00001213845,0.000121435,0.00005681931,0.00007915597,0.0000587034,0.000252613,0.00002951405,0.00007434281,0.00009428413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001153983,"about_ca_system_score_gemma":0.00002028077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002754726,"about_ca_topic_score_gemma":0.0003521055,"domain_scores_codex":[0.9991803,0.000002823485,0.000327763,0.0002696741,0.00001513112,0.0002043762],"domain_scores_gemma":[0.9995834,0.000009482426,0.000182018,0.0001600756,0.00001551565,0.00004948139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006580149,0.00003038079,0.7143345,0.00004375679,0.00003038487,0.0000018001,0.0001141395,0.00008301277,0.00004150354,0.2688268,0.01184058,0.00464655],"study_design_scores_gemma":[0.0004074175,0.000007591353,0.7502567,0.00001938067,0.00000722752,0.000001317308,0.00001246942,0.0002345018,0.0003138254,0.1000811,0.1484242,0.0002341891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9019764,0.01346639,0.000675549,0.0005294967,0.0004738382,0.0001063605,0.00006369815,0.0000317622,0.08267651],"genre_scores_gemma":[0.9910844,0.0005463059,0.0001410764,0.000335466,0.000521165,0.0000303115,0.000005060483,0.00001532389,0.007320923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1687457,"threshold_uncertainty_score":0.68369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02265824553229205,"score_gpt":0.244189813466192,"score_spread":0.2215315679338999,"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."}}