{"id":"W2567026668","doi":"10.2196/games.5526","title":"Design of a Serious Game for Handling Obstetrical Emergencies","year":2016,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Serious game; Childbirth; Field (mathematics); Computer science; Medicine; Medical emergency; Multimedia; Pregnancy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001444297,0.000160336,0.0003599143,0.0002050501,0.00005832766,0.000008624676,0.00009993763,0.0001317394,0.0002173243],"category_scores_gemma":[0.0005501715,0.0001146909,0.0001130897,0.0003091814,0.00008157613,0.00007710471,0.0000167934,0.00007014749,0.00002741626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001553045,"about_ca_system_score_gemma":0.00046185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002966029,"about_ca_topic_score_gemma":0.000002462449,"domain_scores_codex":[0.9985846,0.00005391485,0.0004866548,0.0002828696,0.0002633587,0.0003286517],"domain_scores_gemma":[0.9976431,0.001053672,0.0001820086,0.0003788381,0.0005665966,0.0001758544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004559858,0.001393113,0.4549519,0.003881308,0.0005263234,0.00003395595,0.02517536,0.001775076,0.175375,0.001507711,0.0253037,0.3055167],"study_design_scores_gemma":[0.02339333,0.009405049,0.7137288,0.003551145,0.0005995004,0.0002296858,0.01043307,0.01469554,0.1549488,0.006051178,0.06082484,0.002139013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729945,0.002079077,0.01699651,0.00391488,0.001067135,0.002653882,0.00002788052,0.0001773684,0.00008873356],"genre_scores_gemma":[0.9920887,0.0000804256,0.005402268,0.0002450158,0.0002773355,0.0004806974,0.00001059752,0.00004200421,0.001372943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3033776,"threshold_uncertainty_score":0.4676957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0577237378579461,"score_gpt":0.3653750851693126,"score_spread":0.3076513473113665,"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."}}