{"id":"W3135730862","doi":"10.2196/21988","title":"Game Experience and Learning Effects of a Scoring-Based Mechanic for Logistical Aspects of Pediatric Emergency Medicine: Development and Feasibility Study","year":2021,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Educational Games and Gamification","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Game design; Feeling; Modalities; Psychology; Set (abstract data type); Computer science; Knowledge management; Applied psychology; Multimedia; Social psychology","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":[0.0002837202,0.0001186041,0.0002604389,0.000073594,0.00004726807,0.000003930861,0.00006868074,0.00005501863,0.00008720883],"category_scores_gemma":[0.0005738361,0.00010793,0.00002383822,0.000205218,0.00007234795,0.0000250211,0.00003171884,0.00009066537,8.678368e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002145661,"about_ca_system_score_gemma":0.000102032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002465949,"about_ca_topic_score_gemma":0.00002390235,"domain_scores_codex":[0.9987914,0.0001391806,0.0003817543,0.0003767783,0.000156252,0.0001546335],"domain_scores_gemma":[0.9990024,0.0003523947,0.0001921956,0.0002023605,0.000181286,0.00006933934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003590158,0.003374859,0.8440304,0.002549634,0.0001561484,0.00001505923,0.105818,0.00001383922,0.01026551,0.01097138,0.0001423085,0.02230383],"study_design_scores_gemma":[0.001025992,0.0009921516,0.9878673,0.00003470277,0.00005639678,0.000003333552,0.00717042,0.00004257654,0.001906668,0.000524918,0.000258,0.0001175216],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955127,0.001678811,0.001343816,0.00008288793,0.0004041997,0.0008114146,0.000001590871,0.00001720106,0.0001473891],"genre_scores_gemma":[0.9986799,0.00003978541,0.0005470293,0.00001173068,0.00007923377,0.0003689076,0.000007878578,0.00001112326,0.0002543719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1438369,"threshold_uncertainty_score":0.4401259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04908229942358246,"score_gpt":0.3870142964232016,"score_spread":0.3379319969996191,"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."}}