{"id":"W2894688318","doi":"10.1016/j.hpb.2018.06.1926","title":"Intraductal papillary mucinous neoplasms: a model for instituting population-based screening pancreas MRI","year":2018,"lang":"en","type":"article","venue":"HPB","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Population; Cohort; Mammography; Guideline; Screening mammography; Colonoscopy; Radiology; Magnetic resonance imaging; Internal medicine; Pathology; Cancer; Colorectal cancer; Breast cancer; Environmental health","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":[0.002651951,0.0003611787,0.0005129062,0.0008749645,0.0004269231,0.001950999,0.000954417,0.001087741,0.001523373],"category_scores_gemma":[0.006708762,0.0002322048,0.0003824791,0.0008524935,0.0009626563,0.002180209,0.00101042,0.001407938,0.0004072674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001631321,"about_ca_system_score_gemma":0.004147254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01010548,"about_ca_topic_score_gemma":0.01825467,"domain_scores_codex":[0.9990832,0.0005827377,0.00003042307,0.0001436769,0.00009161772,0.0000684363],"domain_scores_gemma":[0.997869,0.0007669207,0.0002816303,0.0002613194,0.0003792623,0.000441823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003330011,0.001078573,0.5207321,0.0004595074,0.0003648535,0.002789339,0.001220729,0.01854903,0.006344761,0.1559926,0.03038445,0.261751],"study_design_scores_gemma":[0.0002794067,0.002748304,0.2632139,0.001151353,0.0006424316,0.009834256,0.007883701,0.1776179,0.005158802,0.4023339,0.1288602,0.0002757814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3649533,0.01038664,0.2178882,0.3320439,0.002007895,0.0007410166,0.002755591,0.001339615,0.06788387],"genre_scores_gemma":[0.935717,0.006892303,0.04650606,0.006746378,0.001377546,0.0001145818,0.000394257,0.00006103871,0.002190687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01010548,"threshold_uncertainty_score":0.02009332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05392894274352776,"score_gpt":0.3466086465322339,"score_spread":0.2926797037887062,"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."}}