{"id":"W2883001605","doi":"10.1530/erc-18-0244","title":"Evaluating gastroenteropancreatic neuroendocrine tumors through microRNA sequencing","year":2018,"lang":"en","type":"article","venue":"Endocrine Related Cancer","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Southeastern Ontario Academic Medical Organization","keywords":"microRNA; Neuroendocrine tumors; Biology; Classifier (UML); Preprocessor; Computational biology; Artificial intelligence; Computer science; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008743457,0.0003241972,0.0003975916,0.0009695528,0.0001681272,0.0006650612,0.00023643,0.0003972652,0.0004696997],"category_scores_gemma":[0.002016191,0.0001904683,0.000352839,0.0003945008,0.0001450704,0.0002849534,0.0003126927,0.0003018164,0.0004109044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002255335,"about_ca_system_score_gemma":0.0002385176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008162615,"about_ca_topic_score_gemma":0.001383968,"domain_scores_codex":[0.9996094,0.00006618719,0.00005222353,0.0001300544,0.0001040993,0.00003802021],"domain_scores_gemma":[0.9993448,0.0002904454,0.0001023845,0.00004530913,0.0001761488,0.0000409205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001098068,0.0001208301,0.20871,0.0002757924,0.0001801667,0.0009286607,0.000289179,0.009876977,0.6050423,0.0004608393,0.001186097,0.1718311],"study_design_scores_gemma":[0.00004594569,0.0006595681,0.2349656,0.0001059837,0.0003153719,0.002773728,0.0003629698,0.2523699,0.4975691,0.001575652,0.009166226,0.00008987772],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9163434,0.001165289,0.07754821,0.00009769617,0.00002656565,0.0001796181,0.002319922,0.0006348054,0.00168448],"genre_scores_gemma":[0.8749657,0.0006830703,0.1193244,0.0001310086,0.00001712478,0.0002098517,0.003453988,0.00009460507,0.001120201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009695528,"threshold_uncertainty_score":0.004624009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05979104104869274,"score_gpt":0.4035878385768374,"score_spread":0.3437967975281446,"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."}}