{"id":"W4414532880","doi":"10.1016/j.modpat.2025.100897","title":"Whole-Slide Imaging and Radiological Features Predict Clinical Outcomes in Patients With Neuroendocrine Tumors of the Lung","year":2025,"lang":"en","type":"article","venue":"Modern Pathology","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Institut de Valorisation des Données","keywords":"Radiomics; Concordance; Neuroendocrine tumors; Proportional hazards model; Retrospective cohort study; Lung; Radiological weapon; Overall survival","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001443736,0.0001759547,0.0005980788,0.0001594771,0.00004623509,0.000007553966,0.0002017655,0.00001166346,0.000004420442],"category_scores_gemma":[0.001217628,0.00009704262,0.00008278617,0.0001829133,0.0006061137,0.00005887821,0.0003150194,0.0006281523,5.694254e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002659043,"about_ca_system_score_gemma":0.00007717226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001128546,"about_ca_topic_score_gemma":0.00002070171,"domain_scores_codex":[0.9981299,0.0003588906,0.0004340736,0.0004571945,0.0002302078,0.0003897395],"domain_scores_gemma":[0.9989219,0.0003808028,0.0001027406,0.0004433012,0.00007069205,0.0000805685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006503511,0.0002619335,0.9944992,0.00005750495,0.0000204412,0.002095056,0.00002149234,0.00002583728,0.000185729,0.00005722038,0.000337216,0.001788018],"study_design_scores_gemma":[0.004028369,0.0004287778,0.9938098,0.00008027282,0.00003691057,0.0005340904,0.00001880915,0.0003334109,0.0001282854,0.0004337816,0.0001022205,0.00006524963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943557,0.0003909363,0.0000693957,0.004087151,0.0001219146,0.0006630974,0.00001653699,0.00003314739,0.0002620965],"genre_scores_gemma":[0.9980265,0.0000309569,0.0002358178,0.00114168,0.00001539493,0.00002890145,0.000006393478,0.00001517753,0.000499214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003670739,"threshold_uncertainty_score":0.3957283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01069142439030681,"score_gpt":0.3212971461198748,"score_spread":0.310605721729568,"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."}}