{"id":"W4415939673","doi":"10.1016/j.annonc.2025.08.543","title":"109O Capturing clonal evolution through histology","year":2025,"lang":"en","type":"article","venue":"Annals of Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Histology; Somatic evolution in cancer; Disease; Gene deletion; Anatomical pathology; Genetic diagnosis","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":[0.0003601852,0.0002087581,0.0001755327,0.0009919084,0.0002439682,0.001151312,0.0003263272,0.0004958518,0.008543378],"category_scores_gemma":[0.001435337,0.0002522899,0.000183676,0.000604769,0.0002115983,0.0004933383,0.0003786473,0.0002841387,0.00323475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000402843,"about_ca_system_score_gemma":0.0002775106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004503114,"about_ca_topic_score_gemma":0.007175615,"domain_scores_codex":[0.9998598,0.00002622792,0.000005743203,0.00003103127,0.00005701148,0.00002016241],"domain_scores_gemma":[0.9996033,0.0001231016,0.00005189385,0.00007353781,0.0001082322,0.00004000211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002970936,0.0001118782,0.1945825,0.0001696907,0.00009274469,0.0007621771,0.0002401681,0.01493046,0.3234089,0.007983641,0.00860793,0.4488127],"study_design_scores_gemma":[0.00003869455,0.0002243527,0.3360793,0.0001357735,0.0002055051,0.005000508,0.0005707011,0.2948226,0.2580033,0.01593636,0.08888909,0.00009373288],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5530018,0.002322344,0.3424218,0.001009698,0.0002700395,0.0001300993,0.003523591,0.004062879,0.09325771],"genre_scores_gemma":[0.8567876,0.0008154659,0.1098099,0.000380069,0.00006569311,0.00004532507,0.001823464,0.000619232,0.02965323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008543378,"threshold_uncertainty_score":0.02858043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03376252231962767,"score_gpt":0.3519495181937567,"score_spread":0.318186995874129,"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."}}