{"id":"W2887681728","doi":"","title":"An Absolute Risk Model to Identify Individuals at Elevated Risk for Pancreatic Cancer in the General Population","year":2013,"lang":"en","type":"article","venue":"RECERCAT (Consorci de Serveis Universitaris de Catalunya)","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Pancreatic cancer; Absolute risk reduction; Medicine; Population; Cancer; Risk assessment; Absolute (philosophy); Relative risk; Internal medicine; Environmental health; Computer science; Confidence interval","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":[0.01122765,0.001446028,0.002488688,0.00177927,0.0006127841,0.001741098,0.003807633,0.001688417,0.005451407],"category_scores_gemma":[0.02282412,0.0009191183,0.003193788,0.0009860453,0.000795959,0.001256543,0.001607226,0.003391559,0.0009121773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001067063,"about_ca_system_score_gemma":0.001231272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01279544,"about_ca_topic_score_gemma":0.00625486,"domain_scores_codex":[0.995374,0.003098619,0.0001723436,0.0009089525,0.0002617666,0.0001843775],"domain_scores_gemma":[0.9890786,0.008962791,0.0006457214,0.0004696666,0.0006162319,0.0002269328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001854185,0.0004100309,0.1364536,0.0004703096,0.004149918,0.0007403184,0.0004444018,0.753678,0.000671076,0.02950733,0.008438015,0.06318281],"study_design_scores_gemma":[0.0001441114,0.0002748776,0.006808314,0.00007112619,0.0006388373,0.0003714586,0.00006097558,0.9727846,0.000122068,0.01628559,0.002395877,0.00004216781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2395627,0.003380382,0.7411308,0.0042128,0.0005668712,0.0004671802,0.004873731,0.001261058,0.004544442],"genre_scores_gemma":[0.8721491,0.0009341237,0.1129245,0.001140824,0.0003025068,0.0008154172,0.003626183,0.0001916015,0.007915804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01279544,"threshold_uncertainty_score":0.05937821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03996071589966849,"score_gpt":0.3602411608869328,"score_spread":0.3202804449872643,"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."}}