{"id":"W4312955647","doi":"10.2196/40054","title":"A Software Engineering Framework for Reusable Design of Personalized Serious Games for Health: Development Study","year":2022,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Educational Games and Gamification","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Personalization; Computer science; Domain (mathematical analysis); Reuse; Process (computing); Multidisciplinary approach; Domain knowledge; Toolbox; Knowledge management; World Wide Web; Engineering","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"],"consensus_categories":[],"category_scores_codex":[0.0007652499,0.0002386966,0.0004426623,0.0001724815,0.0002975602,0.00002964376,0.0003465332,0.00008005029,0.000358619],"category_scores_gemma":[0.0002200277,0.0002609006,0.0001100244,0.0002891362,0.00003063547,0.0000507219,0.00006786652,0.0001887496,0.000007866148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002498013,"about_ca_system_score_gemma":0.0003784379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003521533,"about_ca_topic_score_gemma":0.000006556888,"domain_scores_codex":[0.9979964,0.0001391768,0.0005860125,0.0005138196,0.0002809282,0.0004835864],"domain_scores_gemma":[0.9982498,0.0007025262,0.0003564834,0.0004381856,0.0001486554,0.000104305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00611248,0.01169493,0.01723993,0.002180394,0.002563085,0.00001242963,0.4831081,0.01323099,0.001207026,0.03793278,0.1446223,0.2800955],"study_design_scores_gemma":[0.003978979,0.004814066,0.1005958,0.0001251387,0.0000806112,0.00003685658,0.03720052,0.0005587349,0.000210425,0.001665486,0.8498745,0.0008588331],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6047499,0.005636592,0.3667399,0.003461524,0.003442315,0.01522649,0.0002912594,0.0004159033,0.00003609189],"genre_scores_gemma":[0.5813727,0.00002738603,0.3707312,0.0009703131,0.0003124175,0.03872452,0.0002172494,0.0001673111,0.007476867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7052522,"threshold_uncertainty_score":0.9999843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04678370698868763,"score_gpt":0.3651767876205584,"score_spread":0.3183930806318708,"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."}}