{"id":"W4403540821","doi":"10.1158/1055-9965.epi-24-0636","title":"Risk of Developing a Subsequent Primary Cancer among Adult Cancer Survivors","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Multiple and Secondary Primary Cancers","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"Arnie Charbonneau Cancer Institute, University of Calgary","keywords":"Medicine; Cancer; Cancer registry; Incidence (geometry); Population; Lung cancer; Colorectal cancer; Breast cancer; Cervix; Demography; Gynecology; Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002562069,0.0002035447,0.0001255206,0.0006729494,0.0002914356,0.0003837634,0.0002870396,0.0002290236,0.001670584],"category_scores_gemma":[0.0009232096,0.0001261592,0.0003207967,0.0008418362,0.0002128171,0.00009895617,0.0003329482,0.0003655309,0.0001340408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001408742,"about_ca_system_score_gemma":0.001807913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4769211,"about_ca_topic_score_gemma":0.5414469,"domain_scores_codex":[0.9997993,0.00001827683,0.00001026454,0.00002931677,0.00008689264,0.00005596877],"domain_scores_gemma":[0.9993918,0.00004508419,0.0002360549,0.00002320467,0.000150448,0.0001533712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001802304,0.000004714121,0.9983114,0.000005709649,0.00001724941,0.00002712841,0.00002824604,0.00005354537,0.00004939247,0.000005991209,0.0001302597,0.001348363],"study_design_scores_gemma":[0.000001737292,0.00001951259,0.9995142,0.000006891216,0.00001596591,0.0001052404,0.00006360645,0.0001016236,0.00002264193,0.000007370302,0.0001398065,0.000001345674],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969597,0.0006149975,0.00008633274,0.0001210552,0.000005224735,0.00001827491,0.0009659836,0.00001478775,0.001213767],"genre_scores_gemma":[0.9987255,0.0002955323,0.00007887588,0.00002382862,0.00000393593,0.000004453719,0.0005914715,0.000001250728,0.0002752335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4769211,"threshold_uncertainty_score":0.9482903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04741333170261523,"score_gpt":0.3667074702763294,"score_spread":0.3192941385737142,"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."}}