{"id":"W4408795937","doi":"10.1016/j.labinv.2024.103822","title":"1580 Neighborhood Clustering Analysis to Define Epithelial-Stromal Interface for Tumor Infiltrating Lymphocyte Evaluation","year":2025,"lang":"en","type":"article","venue":"Laboratory Investigation","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stromal cell; Cluster analysis; Lymphocyte; Interface (matter); Computer science; Pathology; Computational biology; Immunology; Medicine; Biology; Artificial intelligence","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":[0.0003131877,0.0003485446,0.0003799874,0.002475864,0.0005115677,0.0007490834,0.0004496289,0.0003885303,0.001277833],"category_scores_gemma":[0.0006728266,0.0001449476,0.0004360309,0.00124095,0.0001417933,0.0002930835,0.000380097,0.0001560761,0.0006554355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003073598,"about_ca_system_score_gemma":0.0005117223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004180647,"about_ca_topic_score_gemma":0.005925261,"domain_scores_codex":[0.9997033,0.00004192065,0.0000243239,0.00005835656,0.0001198684,0.00005213259],"domain_scores_gemma":[0.9996638,0.00004639965,0.00003129522,0.00002644741,0.0002046794,0.0000272886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009686779,0.0003783375,0.1205519,0.0004285364,0.0002907545,0.001021732,0.0007812691,0.02766689,0.2929676,0.00549425,0.005925588,0.5435246],"study_design_scores_gemma":[0.00003525001,0.0003144839,0.09927186,0.00005392559,0.0003795562,0.001523309,0.0009940276,0.7814564,0.103346,0.002867092,0.009678673,0.00007946439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5765197,0.0008351692,0.4133045,0.00008931303,0.00005257628,0.0003349111,0.0006948287,0.001456108,0.006712866],"genre_scores_gemma":[0.8416505,0.0002474657,0.1542852,0.00002619454,0.00003199755,0.0001598976,0.0008150164,0.0001207196,0.002663004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004180647,"threshold_uncertainty_score":0.008312583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01623950670233624,"score_gpt":0.2937445918472119,"score_spread":0.2775050851448757,"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."}}