{"id":"W2044833864","doi":"10.1504/ijspm.2014.064384","title":"A prototype for project management game development using high level architecture","year":2014,"lang":"en","type":"article","venue":"International Journal of Simulation and Process Modelling","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Game development tool; Computer science; Bidding; Game Developer; Game programming; Game design; Game design document; Video game development; Lift (data mining); Architecture; Level design; Project management; Engineering management; Human–computer interaction; Software engineering; Systems engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000975467,0.0007984027,0.0004525751,0.0004176126,0.0004818665,0.0012442,0.00260855,0.001413283,0.01804765],"category_scores_gemma":[0.002748243,0.0007294943,0.0006203058,0.000274826,0.000506436,0.001549897,0.001485684,0.001409866,0.003831697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003779856,"about_ca_system_score_gemma":0.0008681365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001563836,"about_ca_topic_score_gemma":0.001618061,"domain_scores_codex":[0.9994094,0.0001610876,0.00005447027,0.00009359617,0.000195248,0.00008613343],"domain_scores_gemma":[0.9990477,0.0004258143,0.00003186234,0.0001377232,0.0001546771,0.0002021805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001734206,0.004149991,0.005776415,0.00213899,0.0001931762,0.002782903,0.005573524,0.0463709,0.2477852,0.05400831,0.04158895,0.5878975],"study_design_scores_gemma":[0.001520637,0.004027977,0.006144661,0.0004813922,0.0002142012,0.003690235,0.0008433779,0.4047613,0.07311804,0.02099628,0.4839094,0.0002925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03400531,0.0001002066,0.9059879,0.0003302346,0.0001891261,0.002318122,0.0003634618,0.02945543,0.02725026],"genre_scores_gemma":[0.1151276,0.0001268281,0.8600472,0.0002133142,0.00001631366,0.001852615,0.0005635458,0.001649631,0.02040291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01804765,"threshold_uncertainty_score":0.06037545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09455542811021467,"score_gpt":0.349108737091543,"score_spread":0.2545533089813283,"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."}}