{"id":"W7106253485","doi":"10.1016/j.ecns.2025.101859","title":"From Mannequins to Meaning: Why the Future of Simulation is Human","year":2025,"lang":"en","type":"article","venue":"Clinical Simulation in Nursing","topic":"Bioethics and Human Rights Issues","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"","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":[0.0006199589,0.00009720031,0.0002075587,0.000116038,0.0001921243,0.0001092454,0.0005456116,0.000173104,0.00003187032],"category_scores_gemma":[0.00007002097,0.00007173769,0.0000873093,0.0003924902,0.0001108441,0.000176206,0.00008479255,0.000274459,0.000007826468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000434688,"about_ca_system_score_gemma":0.00002471221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000378796,"about_ca_topic_score_gemma":0.00005044184,"domain_scores_codex":[0.9984692,0.00016908,0.0006574728,0.0003458271,0.0002185124,0.0001398463],"domain_scores_gemma":[0.9979268,0.001232966,0.0001480142,0.0005125166,0.0001354798,0.00004418884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002835375,0.0001856022,0.003337474,0.000009053215,0.00001609799,7.885054e-7,0.01062531,0.4086295,0.00003168845,0.4918507,0.001014039,0.08427141],"study_design_scores_gemma":[0.0002944256,0.00005274671,0.02126921,0.0002418214,0.000009079082,1.478683e-8,0.0001065535,0.586002,0.00006333533,0.379273,0.01260528,0.00008257745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2432084,0.0002589285,0.722263,0.02709395,0.002293775,0.0004243542,0.000004125073,0.00009179085,0.004361677],"genre_scores_gemma":[0.9944437,0.000002823594,0.003076851,0.001919248,0.0004206487,0.000001580954,0.000003514881,0.000004959194,0.000126699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7512352,"threshold_uncertainty_score":0.2925378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08207324586774464,"score_gpt":0.4669697252260386,"score_spread":0.384896479358294,"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."}}