{"id":"W4317000389","doi":"10.1145/3573074.3573096","title":"Games and Software Engineering","year":2023,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Educational Games and Gamification","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Context (archaeology); Entertainment; Variety (cybernetics); Domain (mathematical analysis); Computer science; Value (mathematics); Game mechanics; Game design; Multimedia; Engineering; Software engineering; Engineering management; Artificial intelligence","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002164409,0.0002723354,0.0002291203,0.0003005927,0.00007317479,0.00004460765,0.0003133508,0.0001671807,0.0002062353],"category_scores_gemma":[0.05270192,0.0002960566,0.00007453564,0.0005528235,0.00002910016,0.0001311181,0.0001341168,0.0002439992,0.0004835968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003879263,"about_ca_system_score_gemma":0.00002416154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004159717,"about_ca_topic_score_gemma":0.000001500101,"domain_scores_codex":[0.9985955,0.00001502378,0.0002739835,0.0004564782,0.0001808338,0.0004781996],"domain_scores_gemma":[0.9793428,0.01974758,0.00005835421,0.0006280091,0.00006852816,0.0001546932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001665611,0.00008579172,0.9334382,0.0003151167,0.0001855239,0.00003714034,0.004941742,0.003287402,0.001779247,0.004238633,0.01151209,0.04016242],"study_design_scores_gemma":[0.000240117,0.0000395796,0.966895,0.00007963924,0.00002558058,0.0000294439,0.0001173402,0.000133018,0.0002677332,0.00004975225,0.03173389,0.000388833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841657,0.002773367,0.007308366,0.000779853,0.001833839,0.0002658447,0.00005444825,0.002810526,0.000008111326],"genre_scores_gemma":[0.9781623,0.0001052951,0.01985744,0.0001239896,0.0004235649,0.0001787102,0.0001527942,0.0001082681,0.0008876274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05248547,"threshold_uncertainty_score":0.9999492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02317786882384659,"score_gpt":0.283308412064158,"score_spread":0.2601305432403114,"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."}}