{"id":"W2124664518","doi":"10.48550/arxiv.1507.00956","title":"RETAIN: a Neonatal Resuscitation Trainer Built in an Undergraduate Video-Game Class","year":2015,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Alberta","funders":"","keywords":"Trainer; Neonatal resuscitation; Resuscitation; Class (philosophy); Training (meteorology); Video game; Serious game; Resource (disambiguation); Medical education; Medicine; Psychology; Medical emergency; Computer science; Multimedia; Emergency medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005817076,0.0007066749,0.0003042447,0.0003998551,0.00026533,0.0006025209,0.001029304,0.0004634601,0.01515586],"category_scores_gemma":[0.001501234,0.0002091173,0.0003149522,0.0001046276,0.0002479931,0.0006183576,0.001276452,0.0007052617,0.003453804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003673662,"about_ca_system_score_gemma":0.0006717268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00139878,"about_ca_topic_score_gemma":0.004024463,"domain_scores_codex":[0.999777,0.0000458466,0.00001281277,0.0000462861,0.00004609386,0.0000718481],"domain_scores_gemma":[0.9993958,0.0001085956,0.00002192268,0.00003538891,0.00007010067,0.0003681952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003117909,0.01597931,0.04301364,0.001200874,0.0001436332,0.002425209,0.006603636,0.01424438,0.09856673,0.006829638,0.162317,0.6455581],"study_design_scores_gemma":[0.001297364,0.02321768,0.1173398,0.0006436678,0.0002401553,0.00650855,0.005123153,0.1398551,0.0611857,0.005950947,0.638267,0.0003709625],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8070944,0.0002674416,0.1098908,0.00132218,0.0006121343,0.00395685,0.002983151,0.01052765,0.06334539],"genre_scores_gemma":[0.6722361,0.0004268624,0.2183442,0.0007752294,0.0001006295,0.001908856,0.003561774,0.0005638071,0.1020825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01515586,"threshold_uncertainty_score":0.05070138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1624583846535719,"score_gpt":0.2909323217022123,"score_spread":0.1284739370486404,"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."}}