{"id":"W4416780978","doi":"10.1016/j.esmorw.2025.100620","title":"424eP A novel multi-agent framework for patient eligibility assessment in oncological clinical trials","year":2025,"lang":"en","type":"article","venue":"ESMO Real World Data and Digital Oncology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Clinical trial; Radiological weapon; Process (computing); MEDLINE; Automation; Patient safety","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":[0.01032329,0.001063267,0.001100518,0.001616651,0.0009503981,0.003381145,0.002513329,0.002097735,0.009759209],"category_scores_gemma":[0.02242928,0.0007053827,0.001382873,0.0009960158,0.0008637983,0.002455476,0.003112324,0.001924544,0.001315056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001719723,"about_ca_system_score_gemma":0.005353862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01100079,"about_ca_topic_score_gemma":0.01781763,"domain_scores_codex":[0.9953086,0.002573667,0.0003729185,0.0006005237,0.0008966185,0.0002476504],"domain_scores_gemma":[0.991748,0.005723556,0.0005046828,0.0004818594,0.001113247,0.0004287361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006837391,0.0003480976,0.005431367,0.0005990378,0.0004428496,0.0008759664,0.0004516926,0.5983354,0.002195667,0.1738979,0.02022114,0.1965172],"study_design_scores_gemma":[0.0000931672,0.000041883,0.0002546172,0.00004772786,0.00005972147,0.00005753176,0.00002691742,0.9359084,0.0005101532,0.05517828,0.007805605,0.00001600463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005332955,0.0004484263,0.9818302,0.001764768,0.0001213703,0.0005330814,0.0008595514,0.001697452,0.007412118],"genre_scores_gemma":[0.1872833,0.0004172007,0.8005193,0.0009972389,0.0001824043,0.001088035,0.001398715,0.0002390187,0.007874783],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01100079,"threshold_uncertainty_score":0.05459541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6449877163224622,"score_gpt":0.6639614550406816,"score_spread":0.01897373871821939,"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."}}