{"id":"W4401662072","doi":"10.1101/2024.08.14.24311988","title":"Assessing innovative care models for musculoskeletal disorders’ management in the emergency department using Time-Driven Activity-Based Costing","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre for Interdisciplinary Research in Rehabilitation; The Quebec Population Health Research Network; Université Laval; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean","funders":"","keywords":"Emergency department; Activity-based costing; Medical emergency; Medicine; Operations management; Business; Engineering; Nursing; Marketing","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":[0.04031825,0.002349887,0.002460995,0.002915778,0.00040539,0.002947981,0.00273439,0.001391933,0.004196218],"category_scores_gemma":[0.07564315,0.001315202,0.01068575,0.00289738,0.0008236333,0.001886486,0.002140704,0.001909141,0.00017278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01691526,"about_ca_system_score_gemma":0.00777906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06728026,"about_ca_topic_score_gemma":0.03255666,"domain_scores_codex":[0.9538597,0.03958651,0.001606562,0.001718729,0.002271142,0.0009573445],"domain_scores_gemma":[0.9430059,0.04700494,0.00487663,0.001843804,0.002632115,0.0006366121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.02364605,0.002665804,0.1025839,0.005192161,0.05074065,0.0001217847,0.0003482683,0.7579072,0.0005571802,0.009630433,0.001728361,0.0448783],"study_design_scores_gemma":[0.007736966,0.01046425,0.06231637,0.00145465,0.02174168,0.0001439263,0.0004914209,0.8799701,0.001017684,0.0103593,0.003973241,0.000330483],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9259677,0.006531687,0.04559581,0.000989154,0.0003048069,0.009386475,0.005974361,0.0001994309,0.005050655],"genre_scores_gemma":[0.9847126,0.0004860153,0.0112399,0.0001844963,0.0000300302,0.001944351,0.001140601,0.00001251773,0.0002494383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06728026,"threshold_uncertainty_score":0.2132258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05247658178723855,"score_gpt":0.3733295504721708,"score_spread":0.3208529686849322,"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."}}