{"id":"W3166123591","doi":"10.1200/cci.20.00121","title":"Quantitative Computed Tomography Image Analysis to Predict Pancreatic Neuroendocrine Tumor Grade","year":2021,"lang":"en","type":"article","venue":"JCO Clinical Cancer Informatics","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Cancer Institute","keywords":"Radiomics; Neuroendocrine tumors; Radiology; Pathological; Pancreatic neuroendocrine tumor; Computed tomography; Radiography; Predictive value; Medicine; Nuclear medicine; Pathology; Internal medicine","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":[0.002497884,0.0006235981,0.0004098395,0.002331078,0.0001178305,0.001238901,0.0005049553,0.000320583,0.001643495],"category_scores_gemma":[0.01670398,0.000208816,0.0005771203,0.001130837,0.0003063894,0.000594557,0.0003928212,0.0004139417,0.0003798119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004556987,"about_ca_system_score_gemma":0.0003996184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001560418,"about_ca_topic_score_gemma":0.002402962,"domain_scores_codex":[0.9988335,0.0005175673,0.0001425775,0.0001480124,0.0003078375,0.0000506724],"domain_scores_gemma":[0.9922633,0.004138919,0.001930308,0.0004507732,0.0009558473,0.000260752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001931147,0.00004766782,0.9850617,0.00005052589,0.0001407834,0.00003654682,0.00002268826,0.001630412,0.0005292278,0.00004513076,0.0002951302,0.01194718],"study_design_scores_gemma":[0.00006352696,0.000607361,0.9108606,0.0001039553,0.0004376761,0.001115657,0.0001660998,0.08103051,0.003238059,0.0006211424,0.001719732,0.00003562612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815119,0.002259704,0.01222499,0.0003397202,0.00004680073,0.0001198911,0.001085756,0.0002266428,0.002184639],"genre_scores_gemma":[0.9967629,0.000172796,0.002452437,0.00002498043,0.00001769121,0.0000165783,0.0004148523,0.00001048612,0.0001272403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002497884,"threshold_uncertainty_score":0.01321024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0668042523606518,"score_gpt":0.4378712353746405,"score_spread":0.3710669830139887,"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."}}