{"id":"W4381997149","doi":"10.1097/jp9.0000000000000133","title":"Pancreatic adenocarcinoma and aging: understanding the menace for better management","year":2023,"lang":"en","type":"article","venue":"Journal of Pancreatology","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Pancreatic ductal adenocarcinoma; Medicine; Pancreatic cancer; Pathological; Adenocarcinoma; Population ageing; Incidence (geometry); Mechanism (biology); Population; Cancer; Ageing; Oncology; Internal medicine; Bioinformatics; Biology","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":[0.001146028,0.0001225429,0.0006195733,0.0002953647,0.0001713653,0.00001707381,0.000127628,0.00009250641,0.00003976106],"category_scores_gemma":[0.0001761341,0.00007355957,0.0001180619,0.0002423419,0.0002326384,0.00004901462,0.00006697301,0.0002446997,0.00001427372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001256545,"about_ca_system_score_gemma":0.00008916342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005706679,"about_ca_topic_score_gemma":0.000002811396,"domain_scores_codex":[0.9987121,0.0001229965,0.0004047974,0.0001501698,0.0002323035,0.0003776915],"domain_scores_gemma":[0.9983603,0.001029976,0.0001884344,0.0001882972,0.00009439945,0.0001385563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008439265,0.00006455946,0.9507558,0.0004548642,0.00160726,0.001148932,0.00111232,0.00000239388,0.0005268572,0.0179746,0.02325616,0.002252322],"study_design_scores_gemma":[0.01165789,0.00287558,0.8919567,0.0005261342,0.004855155,0.009603158,0.01423672,0.002421099,0.0002175153,0.04480845,0.01655353,0.0002880058],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610931,0.001703834,0.007889319,0.02573065,0.0001756459,0.000558147,0.000002842052,0.00002323415,0.002823258],"genre_scores_gemma":[0.9929168,0.001228816,0.002796897,0.0007890652,0.0002406017,0.00003302668,0.000003285793,0.00002017336,0.001971347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05879905,"threshold_uncertainty_score":0.2999672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08411444918514217,"score_gpt":0.3639432652947565,"score_spread":0.2798288161096144,"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."}}