{"id":"W2161828711","doi":"10.2196/games.3825","title":"How to Systematically Assess Serious Games Applied to Health Care","year":2014,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Educational Games and Gamification","field":"Psychology","cited_by":141,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Serious game; Domain (mathematical analysis); Health care; Computer science; Management science; Risk analysis (engineering); Medicine; Political science; Engineering; Multimedia","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004025087,0.0003427804,0.0006015226,0.0002263639,0.0001493453,0.0002734888,0.000501755,0.0001669452,0.0001360844],"category_scores_gemma":[0.0001006774,0.0003189199,0.000107012,0.0004326398,0.00004270487,0.00007401943,0.0000812447,0.000193396,0.001266344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002260709,"about_ca_system_score_gemma":0.0001440531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009720652,"about_ca_topic_score_gemma":0.0002059415,"domain_scores_codex":[0.9973693,0.0002352628,0.0005243875,0.0007799646,0.0004113519,0.0006796597],"domain_scores_gemma":[0.9977153,0.0001629502,0.000240221,0.001093879,0.0002353871,0.0005522541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000266725,0.0006309914,0.001846711,0.001901262,0.0002238829,0.000006789021,0.1043541,0.0001197589,0.002363537,0.1576082,0.2397613,0.4909168],"study_design_scores_gemma":[0.0005934512,0.0007373741,0.1669027,0.0002111202,0.00002572837,0.00003452093,0.02754029,0.00001320969,0.000148448,0.0002888802,0.8028665,0.0006377943],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8034381,0.001488556,0.01618599,0.1081229,0.005336891,0.008901244,0.0001075115,0.0009202834,0.05549851],"genre_scores_gemma":[0.9748517,0.000005834028,0.004556756,0.007825984,0.0007088679,0.002380028,0.00007338198,0.00008086085,0.009516594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5631052,"threshold_uncertainty_score":0.9999263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01975587365800591,"score_gpt":0.3398317132366456,"score_spread":0.3200758395786397,"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."}}