{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005877761,0.0003585255,0.0004957693,0.0007954473,0.00007233803,0.00004161989,0.0003450826,0.0005655804,0.00007456985],"category_scores_gemma":[0.0002515378,0.0004322896,0.0001513814,0.0008660409,0.0001573748,0.000300242,0.0001615121,0.001060178,0.00007151191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001769871,"about_ca_system_score_gemma":0.002198968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001199871,"about_ca_topic_score_gemma":0.001098993,"domain_scores_codex":[0.9973964,0.0003767739,0.0004660432,0.001109723,0.0002308632,0.0004201827],"domain_scores_gemma":[0.9966971,0.000262221,0.0003321641,0.001152873,0.001035429,0.0005201693],"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":[0.001366159,0.0003543789,0.4700466,0.0007847445,0.0001140584,0.0006728142,0.005884153,0.4986524,0.00003846856,0.01926631,0.00207333,0.0007466024],"study_design_scores_gemma":[0.006293922,0.0004704524,0.2399486,0.0009811097,0.0003471645,0.00002141264,0.007284465,0.6286994,0.0000435544,0.1135005,0.001356207,0.001053154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897439,0.0001057022,0.002456355,0.004188763,0.0007291476,0.001006355,0.0000534113,0.0001944881,0.001521856],"genre_scores_gemma":[0.9961143,0.00004153379,0.0002609967,0.0005102073,0.0003273114,0.000006399881,0.0009108036,0.00005899305,0.001769447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.230098,"threshold_uncertainty_score":0.9998129,"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."}}