{"id":"W4402501789","doi":"10.11159/icbb24.122","title":"Development And Validation Of An AI-Based Pathomics Biomarker To Predict Response To First-Line Treatment In Metastatic Colorectal Cancers","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Colorectal cancer; Biomarker; Oncology; Internal medicine; Medicine; Computer science; Cancer; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001105815,0.0005819047,0.0007504251,0.001422829,0.0001691841,0.001211208,0.0004649816,0.0007936701,0.0007509356],"category_scores_gemma":[0.002967502,0.0002225901,0.0003876163,0.0006462611,0.0002508867,0.0004619327,0.0005284924,0.000628182,0.0004522833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003230282,"about_ca_system_score_gemma":0.0004030667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006755978,"about_ca_topic_score_gemma":0.0006353587,"domain_scores_codex":[0.9995263,0.0001183901,0.00003644562,0.000117669,0.0001448831,0.00005632117],"domain_scores_gemma":[0.9991547,0.0002364864,0.0001617506,0.00006625646,0.0002881963,0.00009262196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001750813,0.001092279,0.3286645,0.0006140692,0.0004443587,0.000493211,0.0002056773,0.02742319,0.351054,0.0008210774,0.003214373,0.2842224],"study_design_scores_gemma":[0.0001390736,0.003596924,0.2667795,0.000158819,0.0004892217,0.001777248,0.0003623918,0.5727456,0.1426726,0.001996972,0.009157988,0.0001236186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9464827,0.002702604,0.04664871,0.0004444453,0.0001266369,0.0002586494,0.001382148,0.000503929,0.001450195],"genre_scores_gemma":[0.9564993,0.0006556914,0.03977341,0.0002059279,0.00007552696,0.0001808157,0.001837388,0.00003580201,0.0007362602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001422829,"threshold_uncertainty_score":0.005848169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0192418503198733,"score_gpt":0.3075598880607952,"score_spread":0.2883180377409219,"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."}}