{"id":"W4410232240","doi":"10.1093/jamia/ocaf081","title":"Improved intrahospital transport time via proximity-based staff assignments","year":2025,"lang":"en","type":"article","venue":"Journal of the American Medical Informatics Association","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Workload; Duration (music); Computer science; Patient safety; Confidence interval; Observational study; Intervention (counseling); Health care; Medicine; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003648774,0.0001133953,0.000385031,0.000139441,0.0004977631,0.00001833777,0.0003309865,0.0001853779,0.0001233807],"category_scores_gemma":[0.002274912,0.0000746751,0.0001388755,0.0005811972,0.00006477801,0.0002824758,0.00003441623,0.001099374,0.00001815237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069126,"about_ca_system_score_gemma":0.002571763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006544571,"about_ca_topic_score_gemma":0.00002112077,"domain_scores_codex":[0.9965422,0.0005051538,0.001622722,0.00005474929,0.0009686715,0.0003065318],"domain_scores_gemma":[0.9957542,0.0004990856,0.002628969,0.0001740143,0.0007698853,0.0001738227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000994446,0.00256089,0.6738579,0.001563998,0.001914368,0.00001241124,0.02605831,0.01635833,0.001572154,0.001418731,0.07984782,0.1938406],"study_design_scores_gemma":[0.003996944,0.0007984063,0.05528186,0.001260869,0.0002663161,0.000003085221,0.004058636,0.923807,0.0002064947,0.0004497206,0.009539932,0.0003307708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6828039,0.00001165928,0.2854751,0.02786344,0.001362645,0.0007368452,0.00001814858,0.00003379621,0.001694478],"genre_scores_gemma":[0.970992,0.00005029603,0.01599647,0.01143867,0.0002665303,0.00002541895,0.00002441963,0.00001536268,0.001190787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9074486,"threshold_uncertainty_score":0.4776296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009049234961022008,"score_gpt":0.3457101923136397,"score_spread":0.3366609573526177,"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."}}