{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007081449,0.001056732,0.0007835198,0.001274999,0.001822047,0.004676251,0.001914091,0.00140745,0.002473522],"category_scores_gemma":[0.0137348,0.0006941808,0.0006563794,0.0005746172,0.001783482,0.002435371,0.003436003,0.001038645,0.0002917973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001995093,"about_ca_system_score_gemma":0.006020507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002830898,"about_ca_topic_score_gemma":0.00585619,"domain_scores_codex":[0.9893125,0.00739216,0.0003027879,0.0008213839,0.001750966,0.0004202893],"domain_scores_gemma":[0.9926376,0.005079239,0.0007223764,0.0004213846,0.0006975633,0.0004418018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001101754,0.0009435309,0.01856072,0.001525008,0.0002197017,0.0008649899,0.009360796,0.4150777,0.02477729,0.09596426,0.005588874,0.4260153],"study_design_scores_gemma":[0.0004731266,0.003669998,0.01384893,0.0007710686,0.0003166616,0.001056936,0.02266604,0.7314866,0.02667836,0.1318655,0.06670937,0.000457367],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1118961,0.0008596277,0.8721925,0.002576549,0.0001419383,0.0005630215,0.0001182286,0.0002930457,0.01135905],"genre_scores_gemma":[0.5453125,0.0003126692,0.4509274,0.0003298523,0.00003572268,0.0004555958,0.00006800957,0.00008326035,0.00247497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007081449,"threshold_uncertainty_score":0.03745073,"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."}}