{"id":"W4408796265","doi":"10.1016/j.labinv.2024.102798","title":"567 Cell-Centered UNI Feature Extraction Accurately Classifies Colon Polyps and Highlights Microenvironmental Remodeling","year":2025,"lang":"en","type":"article","venue":"Laboratory Investigation","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Research in Immunology and Cancer; Centre Hospitalier de l’Université de Montréal; Concordia University; Université de Montréal","funders":"","keywords":"Feature (linguistics); Computational biology; Cell; Feature extraction; Medicine; Biology; Pathology; Artificial intelligence; Computer science; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001866959,0.0001558318,0.0001905226,0.0001350886,0.0001928554,0.00006470724,0.00005296736,0.0001525322,0.0000118689],"category_scores_gemma":[0.00007941358,0.0001444583,0.00002761534,0.000244119,0.0001779207,0.0002120968,0.00003090393,0.0004337502,0.000007343936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001372571,"about_ca_system_score_gemma":0.000123351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002577046,"about_ca_topic_score_gemma":0.000004906087,"domain_scores_codex":[0.9990566,0.00009080877,0.0002149808,0.0002957392,0.0001686345,0.000173218],"domain_scores_gemma":[0.9994623,0.0000505053,0.0001165007,0.0001706078,0.00005289167,0.0001471913],"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":[0.00008464877,0.00004831567,0.02766232,0.0001637587,0.00003113131,0.00001884849,0.0003779723,0.0000499079,0.961973,0.0005864319,0.006820508,0.002183112],"study_design_scores_gemma":[0.00572325,0.000269547,0.215573,0.001209797,0.0004957199,0.0000727,0.00143012,0.05942391,0.5185901,0.00134155,0.195244,0.0006263011],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818473,0.0009820866,0.000801073,0.01497897,0.0003878627,0.0002411969,0.000009285386,0.00008863394,0.0006635642],"genre_scores_gemma":[0.9906764,0.0003482735,0.004138974,0.003552862,0.0001314375,0.00001011122,0.0001209847,0.00001935166,0.001001619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4433829,"threshold_uncertainty_score":0.589084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556317868446059,"score_gpt":0.2840089750749026,"score_spread":0.268445796390442,"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."}}