{"id":"W4413326166","doi":"10.1177/2327857925141024","title":"Device Dilemma: Optimizing Spaces in Hospital Labor and Delivery Rooms","year":2025,"lang":"en","type":"article","venue":"Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Sinai Health System","funders":"","keywords":"Dilemma; Business; Operations management; Computer science; Engineering; Philosophy; Epistemology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004064461,0.0001433606,0.0002440786,0.0002121445,0.0004727536,0.00005115545,0.0002118869,0.0001315323,0.000007228946],"category_scores_gemma":[0.0001274292,0.000115267,0.00002910979,0.0001693033,0.00004719928,0.000186024,0.0001774592,0.0004354421,4.625782e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006349753,"about_ca_system_score_gemma":0.0002170805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003650417,"about_ca_topic_score_gemma":0.001910637,"domain_scores_codex":[0.9986738,0.00003381966,0.0006554163,0.0002834499,0.000112768,0.0002407425],"domain_scores_gemma":[0.9991174,0.0001646269,0.0002792891,0.0000705799,0.0003047791,0.00006331265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001000836,0.00006393398,0.9507058,0.0007487725,0.0000146645,1.207536e-7,0.01636374,0.00152685,0.0001863741,0.0298525,0.000230788,0.0002063933],"study_design_scores_gemma":[0.002533939,0.0003659432,0.923191,0.005356863,0.00001447639,5.844676e-7,0.05304155,0.006976571,0.0004654556,0.0006040342,0.007012538,0.0004371171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855568,0.0002843831,0.000002455094,0.01196771,0.0006341349,0.000612079,0.00003800166,0.00001398216,0.0008903888],"genre_scores_gemma":[0.9974611,0.0006846426,0.0005197558,0.001073709,0.00006066873,0.00005183612,0.00001565739,0.00001255403,0.00012003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0366778,"threshold_uncertainty_score":0.5518363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02925651751258878,"score_gpt":0.3543366725963363,"score_spread":0.3250801550837475,"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."}}