{"id":"W1982268813","doi":"10.1177/154193121005401228","title":"Supportive Living Resident Suite Evaluation: Using Simulation to Evaluate a Mock-up","year":2010,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services","funders":"","keywords":"Suite; Debriefing; Computer science; Population; Variety (cybernetics); Health care; Medical emergency; Simulation; Medicine; Medical education","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":[0.004344809,0.001233688,0.0005728296,0.0006332066,0.0006805878,0.0009078918,0.001577495,0.001460416,0.002394981],"category_scores_gemma":[0.01340182,0.0005378305,0.0008782759,0.0002576345,0.0007448586,0.0006161256,0.001205227,0.000798092,0.0005970462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004595,"about_ca_system_score_gemma":0.001266239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001537694,"about_ca_topic_score_gemma":0.003213211,"domain_scores_codex":[0.9974947,0.001717606,0.00013835,0.000131305,0.0003387733,0.0001793363],"domain_scores_gemma":[0.9933746,0.003317439,0.0003566382,0.0006321548,0.001182346,0.00113679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02333906,0.118938,0.06739705,0.003212618,0.0007885753,0.008261338,0.02597397,0.4223209,0.1081081,0.004032734,0.01412801,0.2034996],"study_design_scores_gemma":[0.009070133,0.2643868,0.07614753,0.001142652,0.0006686438,0.005765037,0.01548378,0.4940854,0.09076562,0.004769424,0.03659127,0.001123749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853404,0.00008717568,0.01061789,0.0001101503,0.00004740712,0.001727751,0.0001872738,0.0001487242,0.001733099],"genre_scores_gemma":[0.9566398,0.000177128,0.03873471,0.0001578439,0.00002671512,0.001893458,0.0005118374,0.00004491486,0.001813598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004344809,"threshold_uncertainty_score":0.02297783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06314615208826202,"score_gpt":0.390747009952702,"score_spread":0.3276008578644399,"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."}}