{"id":"W4414831525","doi":"10.1097/01.eem.0000000000000094","title":"Practicing the Unpredictable with In Situ Simulation","year":2025,"lang":"en","type":"article","venue":"Emergency Medicine News","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Event (particle physics); Work (physics); Troubleshooting; In situ","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005303808,0.0001634751,0.0002804177,0.0003135743,0.0001690669,0.000003142426,0.0001024581,0.00008079596,0.001590749],"category_scores_gemma":[0.0009195505,0.00009912384,0.00003254536,0.001534455,0.00007010008,0.0001198992,0.00001602409,0.0003716076,0.00002274352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001999271,"about_ca_system_score_gemma":0.0004989569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002464077,"about_ca_topic_score_gemma":0.0008129462,"domain_scores_codex":[0.9982231,0.0001215889,0.0006748897,0.0003039916,0.0004015248,0.000274934],"domain_scores_gemma":[0.9981275,0.0006768793,0.0001716161,0.000532656,0.0003891582,0.0001022454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002670198,0.000105611,0.9407867,0.0002202348,0.00004101719,0.000004704005,0.004739602,0.02116209,0.0003295741,0.0004550955,0.02976065,0.002127756],"study_design_scores_gemma":[0.00383819,0.0005024563,0.8927248,0.001456637,0.0002560904,0.000008842708,0.01505491,0.0343637,0.0003057778,0.0007875808,0.05048292,0.0002181224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.764988,0.003327098,0.006192024,0.1313248,0.003705344,0.002082747,0.000001551994,0.000163467,0.08821491],"genre_scores_gemma":[0.9905163,0.00008499317,0.0001499388,0.001669966,0.0006215684,0.00007902813,0.00003928203,0.00001932515,0.006819606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2255283,"threshold_uncertainty_score":0.9993219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0519626208221983,"score_gpt":0.4229754709710454,"score_spread":0.3710128501488471,"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."}}