{"id":"W4292876648","doi":"10.1002/aet2.10794","title":"Much ado about gaming: An educator's guide to serious games and gamification in medical education","year":2022,"lang":"en","type":"article","venue":"AEM Education and Training","topic":"Educational Games and Gamification","field":"Psychology","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Hamilton Health Sciences","funders":"","keywords":"Multimedia; Medical education; Psychology; Computer science; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001002669,0.0001990154,0.0002074211,0.0004956853,0.0002951278,0.00009074571,0.000241664,0.0001024479,0.001518213],"category_scores_gemma":[0.0002412513,0.0002353283,0.0000297532,0.0005619238,0.00007678094,0.000207478,0.00005885669,0.0003174465,0.0000292647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001801645,"about_ca_system_score_gemma":0.002114253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007681547,"about_ca_topic_score_gemma":0.0001762659,"domain_scores_codex":[0.9978348,0.0002947541,0.0005139397,0.0006903131,0.0003416704,0.000324496],"domain_scores_gemma":[0.9987431,0.0001211515,0.0001705693,0.0004050951,0.0001269487,0.0004331335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002971314,0.00134602,0.01759779,0.00002042446,0.00001494753,8.428401e-7,0.07722376,0.000005901139,0.0001357122,0.05737476,0.0136843,0.8325658],"study_design_scores_gemma":[0.0003412469,0.0001283362,0.5634514,0.00004361767,0.00001720273,0.000180271,0.1409995,0.00009976065,0.000008949858,0.001243371,0.2932113,0.0002750715],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639719,0.002322855,0.0001008043,0.01856165,0.003011772,0.0005456994,0.000008097211,0.00006357675,0.01141371],"genre_scores_gemma":[0.984252,0.00009046804,0.001509576,0.007066845,0.0005005749,0.001341135,0.0002743069,0.0000381923,0.004926886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8322908,"threshold_uncertainty_score":0.9993945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02710161638075631,"score_gpt":0.3856260328188174,"score_spread":0.3585244164380611,"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."}}