{"id":"W4410809413","doi":"10.1200/jco.2025.43.16_suppl.e13512","title":"Enhancing patient understanding of pathology reports: Insights from a large database of patient inquiries.","year":2025,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Radiology practices and education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Pathology","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":[0.0166339,0.0002681761,0.0004790227,0.004544316,0.0008011239,0.003317803,0.000745518,0.0009111966,0.003601133],"category_scores_gemma":[0.1033428,0.0003357691,0.0003803685,0.004432833,0.0004363793,0.00278632,0.00322848,0.0007673849,0.00182731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001093815,"about_ca_system_score_gemma":0.001979413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002467235,"about_ca_topic_score_gemma":0.004533563,"domain_scores_codex":[0.9900115,0.005426237,0.001839229,0.0008136361,0.001588862,0.0003205973],"domain_scores_gemma":[0.8015265,0.1588534,0.01836309,0.007451764,0.01109168,0.002713461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001047567,0.0009636008,0.7572232,0.001672952,0.0001747645,0.001369959,0.03730222,0.0003010378,0.0009896165,0.0007211147,0.03843779,0.1597963],"study_design_scores_gemma":[0.0001567866,0.0006406587,0.8646532,0.001255809,0.0002529045,0.002835598,0.04573792,0.00398685,0.001468771,0.001326009,0.07751844,0.0001671316],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9549889,0.001525867,0.002248414,0.003768873,0.00004266378,0.0007290359,0.0285932,0.0004763927,0.007626694],"genre_scores_gemma":[0.9485893,0.002031854,0.01542061,0.002261243,0.00009501301,0.0009049792,0.02832931,0.000167395,0.002200297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0166339,"threshold_uncertainty_score":0.08796954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1491742363472082,"score_gpt":0.4760914503050082,"score_spread":0.3269172139578,"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."}}