{"id":"W4282822260","doi":"10.1097/coc.0000000000000925","title":"A Real-World Study of the Incidence and Outcomes of Early-Onset Well-differentiated Neuroendocrine Neoplasms","year":2022,"lang":"en","type":"article","venue":"American Journal of Clinical Oncology","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Foregut; Hazard ratio; Hindgut; Proportional hazards model; Internal medicine; Incidence (geometry); Midgut; Epidemiology; Confidence interval; Neuroendocrine tumors; Gastroenterology; Pathology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001415254,0.0002425097,0.0002759905,0.0006931974,0.0002237795,0.0006622608,0.0003077812,0.0003577699,0.0008792048],"category_scores_gemma":[0.004936329,0.0001649311,0.0003530323,0.001202637,0.0002516586,0.0007259522,0.0005847558,0.0004751094,0.0001740025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003484635,"about_ca_system_score_gemma":0.0003902897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003110738,"about_ca_topic_score_gemma":0.003753908,"domain_scores_codex":[0.9986785,0.0005082602,0.0001728163,0.0002830648,0.0002351546,0.0001221908],"domain_scores_gemma":[0.9935437,0.0009672212,0.004222575,0.000292895,0.0005561092,0.0004174263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000336924,0.00001024285,0.9990407,0.00001517526,0.00004807581,0.00002955302,0.00002075446,0.00002712173,0.00003540752,0.00001315226,0.00008654405,0.0006395752],"study_design_scores_gemma":[0.000003824638,0.00004752159,0.999087,0.00001458636,0.00002435473,0.0002274632,0.0001127689,0.0001405487,0.00002521757,0.00001858188,0.0002957273,0.000002458394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957628,0.00145915,0.0002665267,0.000165299,0.00001322506,0.0000143593,0.001847155,0.000005178618,0.0004664269],"genre_scores_gemma":[0.9982789,0.0003666903,0.0001211528,0.00004254155,0.00002424742,0.0000101116,0.001100845,0.000001280761,0.00005412603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003110738,"threshold_uncertainty_score":0.007484674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05526594234614452,"score_gpt":0.4515410364582003,"score_spread":0.3962750941120558,"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."}}