{"id":"W4220858181","doi":"10.5430/wjel.v12n2p239","title":"E99: Desktop Game Application for Learning Asmaul Husna","year":2022,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Educational Methods and Media Use","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Memorization; Computer science; Formative assessment; Human–computer interaction; Boredom; Usability; Game based learning; Process (computing); Multimedia; Mathematics education; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003927317,0.0008202607,0.0003689781,0.0007532872,0.000249719,0.0006159249,0.0008318591,0.0004861824,0.01692574],"category_scores_gemma":[0.001156741,0.0001694652,0.0005223015,0.0003227197,0.0001748403,0.0008777124,0.001166926,0.0004576461,0.003061619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001458346,"about_ca_system_score_gemma":0.0002914995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006342956,"about_ca_topic_score_gemma":0.001295722,"domain_scores_codex":[0.9997761,0.0000557948,0.00002544327,0.00003799443,0.00006808028,0.0000366763],"domain_scores_gemma":[0.9996054,0.00017615,0.00002876365,0.00003309757,0.00006600186,0.00009072149],"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":[0.003080036,0.003905624,0.0174945,0.002434604,0.00011602,0.002114793,0.002207893,0.002753304,0.1182084,0.00566478,0.06325405,0.7787659],"study_design_scores_gemma":[0.001389285,0.0141243,0.2125392,0.0008958475,0.000311665,0.01020443,0.00297656,0.04586621,0.112729,0.007517655,0.590972,0.0004738565],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"software","genre_scores_codex":[0.6545905,0.00184062,0.199796,0.0009435432,0.0004654958,0.005854056,0.006477717,0.02633926,0.1036929],"genre_scores_gemma":[0.6716496,0.001301584,0.2360056,0.0005110432,0.0000714221,0.003062321,0.00500703,0.0005419981,0.08184938],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01692574,"threshold_uncertainty_score":0.05662227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354153672032703,"score_gpt":0.2979323236345877,"score_spread":0.2843907869142606,"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."}}