{"id":"W4414683410","doi":"10.1002/jhm.70186","title":"Faster and better for everyone—The future of AI‐generated discharge summaries","year":2025,"lang":"en","type":"article","venue":"Journal of Hospital Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"MEDLINE; Hospital medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19)","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":[0.02225728,0.0005159127,0.0006704847,0.001601896,0.0009798538,0.007740474,0.001728715,0.001838296,0.01913283],"category_scores_gemma":[0.1333021,0.0003131235,0.00066432,0.001552871,0.0015878,0.008015971,0.002704649,0.004010636,0.004908369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002271008,"about_ca_system_score_gemma":0.006191801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002126792,"about_ca_topic_score_gemma":0.004405476,"domain_scores_codex":[0.9881683,0.008463405,0.0007162852,0.0004879163,0.001871768,0.0002921896],"domain_scores_gemma":[0.8768924,0.07887345,0.00542898,0.00612309,0.01829035,0.0143917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004167132,0.0001796782,0.007007885,0.0009483183,0.0001748927,0.0001582935,0.001062293,0.002078802,0.0004206207,0.03620476,0.3377945,0.6135532],"study_design_scores_gemma":[0.0002703345,0.0005241785,0.00585672,0.004045183,0.0001997523,0.0007793459,0.004199313,0.01742764,0.00137886,0.2102323,0.7548528,0.000233562],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005840778,0.02458007,0.03565974,0.8955708,0.01007317,0.0002013242,0.001867185,0.0009553435,0.02525171],"genre_scores_gemma":[0.4515988,0.09037526,0.2856972,0.1160214,0.02635343,0.001060558,0.006658609,0.001319716,0.020915],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02225728,"threshold_uncertainty_score":0.1177092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03361117516678498,"score_gpt":0.3764666925559774,"score_spread":0.3428555173891925,"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."}}