{"id":"W3105904721","doi":"","title":"A Digital Game Maturity Model (DGMM)","year":2016,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Software Engineering Research","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University; Western University","funders":"","keywords":"Maturity (psychological); Video game development; Capability Maturity Model; Popularity; Computer science; Game Developer; Knowledge management; Quality (philosophy); Game design; Software; Process management; Multimedia; Engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003091359,0.0003267812,0.000276597,0.0005796435,0.0001299963,0.0007597555,0.002879184,0.0002019491,0.00001039379],"category_scores_gemma":[0.0002803254,0.0002893812,0.0001575737,0.0007129998,0.0001235554,0.006039482,0.001522881,0.0004600044,0.0007857405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003565373,"about_ca_system_score_gemma":0.0001715515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.72919e-7,"about_ca_topic_score_gemma":0.00002612584,"domain_scores_codex":[0.9973529,0.00008790811,0.0002114488,0.0008530869,0.0007137331,0.0007808975],"domain_scores_gemma":[0.9974842,0.0004459406,0.00008858849,0.001336067,0.0001850428,0.0004601409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003375427,0.00008664766,0.9899238,0.00002854708,0.00004196247,0.0003832759,0.0001740388,0.0001320881,0.001112043,0.0009296081,0.000003945773,0.007150271],"study_design_scores_gemma":[0.00213159,0.0001744605,0.9846978,0.0003650635,0.00002057326,0.0001217788,0.00001775221,0.000127827,0.004590066,0.001759319,0.00489369,0.001100123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6877484,0.00002887197,0.3106223,0.0004303876,0.0001541372,0.0001421117,0.00002414694,0.0006768936,0.0001727146],"genre_scores_gemma":[0.9833602,0.00002200192,0.0007217582,0.0001031296,0.00005871282,0.00000153842,0.000002782103,0.00003865139,0.01569125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3099006,"threshold_uncertainty_score":0.9999923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07978850938261935,"score_gpt":0.2992522991797711,"score_spread":0.2194637897971518,"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."}}