{"id":"W2735522662","doi":"10.1530/erc-17-0209","title":"A comprehensive review on MEN2B","year":2017,"lang":"en","type":"review","venue":"Endocrine Related Cancer","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001868907,0.0006196559,0.003507747,0.0002085081,0.0001675173,0.00003387533,0.0003782058,0.000197366,0.001513129],"category_scores_gemma":[0.0004812428,0.0004253201,0.0009299857,0.0002181127,0.0001465975,0.00004074713,0.0001172018,0.00266244,0.0006251035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003311067,"about_ca_system_score_gemma":0.0005691135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009628179,"about_ca_topic_score_gemma":4.831074e-7,"domain_scores_codex":[0.9973256,0.0001703786,0.0008487201,0.0006725442,0.000475608,0.0005071345],"domain_scores_gemma":[0.9974939,0.0001818381,0.0007462046,0.001139121,0.0001105226,0.0003283997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005935021,0.00003606248,0.000001765966,0.08545897,0.0006550256,0.0006929768,0.000004550432,8.361744e-7,1.526565e-7,0.0000702316,0.05149796,0.8615755],"study_design_scores_gemma":[0.0005373299,0.00007580165,0.000002685485,0.2763856,0.002833876,0.0008531047,5.160001e-7,0.00001730851,1.907056e-7,0.0000103117,0.7190147,0.0002685588],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[5.902579e-7,0.9747062,0.000001600838,0.003198643,0.001067798,0.001466375,0.00002461907,0.0001405354,0.01939364],"genre_scores_gemma":[5.452106e-7,0.9798164,0.00007694861,0.002230958,0.0005606974,0.0003335083,0.0002266133,0.0001501947,0.01660414],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.861307,"threshold_uncertainty_score":0.9998199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09907016582732375,"score_gpt":0.4699450566218236,"score_spread":0.3708748907944999,"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."}}