{"id":"W4414564075","doi":"10.2196/77482","title":"Explainable AI-Driven Analysis of Radiology Reports Using Text and Image Data: Experimental Study","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Component (thermodynamics); Medical imaging; Image (mathematics); Health care; MEDLINE; Patient care","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":[0.008420249,0.001419871,0.0006950509,0.001409231,0.0006424151,0.001574941,0.001641688,0.00179448,0.00241433],"category_scores_gemma":[0.0436869,0.0004257021,0.001423903,0.0009917988,0.001127891,0.001651294,0.001194413,0.001940705,0.0008285677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626171,"about_ca_system_score_gemma":0.001263425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005294537,"about_ca_topic_score_gemma":0.004829396,"domain_scores_codex":[0.9951481,0.002689911,0.0004387973,0.0009444573,0.0005896161,0.0001890486],"domain_scores_gemma":[0.9126999,0.07595766,0.003615524,0.004296281,0.002746566,0.0006840093],"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":[0.01522827,0.03109578,0.1329011,0.00457846,0.001901111,0.003127291,0.006223152,0.2950176,0.03420626,0.005365066,0.01819011,0.4521658],"study_design_scores_gemma":[0.0006976337,0.004018876,0.04024278,0.0001780942,0.0003693158,0.0005839288,0.001146852,0.9225767,0.0217372,0.004327212,0.003964453,0.0001568835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975711,0.0007819075,0.01778552,0.0004510376,0.0001165239,0.0008535404,0.001890556,0.000754518,0.0016554],"genre_scores_gemma":[0.9473394,0.0003062829,0.0454739,0.0001779138,0.0001194567,0.0005580976,0.004899302,0.00006072172,0.001064914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008420249,"threshold_uncertainty_score":0.04453105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1196117000009965,"score_gpt":0.4806930035276018,"score_spread":0.3610813035266053,"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."}}