{"id":"W4225518034","doi":"10.1245/s10434-022-11579-0","title":"Recurrence After Resection of Pancreatic Cancer: Can Radiomics Predict Patients at Greatest Risk of Liver Metastasis?","year":2022,"lang":"en","type":"article","venue":"Annals of Surgical Oncology","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"National Cancer Institute","keywords":"Medicine; Surgical oncology; Radiomics; Pancreatic cancer; Resection; Metastasis; General surgery; Oncology; Internal medicine; Cancer; Hepatectomy; Radiology; Surgery","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":[0.0005975905,0.0003186271,0.0005496895,0.0008225309,0.0003120482,0.0009225127,0.0004666839,0.0007609758,0.00165162],"category_scores_gemma":[0.003627311,0.0001703451,0.0005090818,0.0007922133,0.0003822615,0.0008981255,0.0002834101,0.0007574448,0.0005177453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001818372,"about_ca_system_score_gemma":0.0003591329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001542483,"about_ca_topic_score_gemma":0.002841864,"domain_scores_codex":[0.999729,0.00008949144,0.00003558685,0.00003363238,0.00004930126,0.00006294444],"domain_scores_gemma":[0.9984714,0.0004820382,0.00051685,0.00009388951,0.0001614587,0.0002744564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002021113,0.00002265229,0.9943646,0.00001049238,0.00003012118,0.0001103663,0.00003201607,0.00004604861,0.0001890483,0.00001821536,0.0001570831,0.004817295],"study_design_scores_gemma":[0.00001201923,0.0002765837,0.9967189,0.00001578181,0.000150604,0.0008245511,0.0004172944,0.0004613195,0.0002389627,0.0001437112,0.0007292773,0.00001084723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929695,0.002838766,0.0002711914,0.001006578,0.00007993507,0.000008703543,0.0002467902,0.00001527206,0.002563364],"genre_scores_gemma":[0.9982931,0.0006897306,0.0001333574,0.0001042718,0.0001742387,0.000003963162,0.000286707,0.000005146861,0.000309425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00165162,"threshold_uncertainty_score":0.005525231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07010012689238482,"score_gpt":0.3747432290070811,"score_spread":0.3046431021146963,"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."}}