{"id":"W1016715629","doi":"10.5642/jhummath.201502.03","title":"E-Brock Bugs©: An Epistemic Mathematics Computer Game","year":2015,"lang":"en","type":"article","venue":"Journal of Humanistic Mathematics","topic":"Mathematics Education and Teaching Techniques","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University; Université de Montréal","funders":"","keywords":"Video game; Mathematical game; Mathematics education; Game art design; Avatar; Computer science; Video game design; Selection (genetic algorithm); Ideal (ethics); Combinatorial game theory; Video game development; Mathematical proof; Metagaming; Game mechanics; Game design; Game theory; Sequential game; Mathematical economics; Mathematics; Artificial intelligence; Multimedia; Human–computer interaction; Epistemology; Simultaneous game","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":[0.0007416005,0.0007114422,0.0002645752,0.0006617791,0.0006124589,0.001383289,0.001062732,0.0007296323,0.008915916],"category_scores_gemma":[0.003900495,0.0002568316,0.0003415702,0.0002488061,0.00085329,0.002199708,0.002435386,0.0009744653,0.00139785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004251125,"about_ca_system_score_gemma":0.0005064367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001497261,"about_ca_topic_score_gemma":0.001825753,"domain_scores_codex":[0.9993488,0.0002616243,0.0000459381,0.00008501412,0.0001754075,0.00008316921],"domain_scores_gemma":[0.9988818,0.0006196448,0.00006883005,0.00008639959,0.0001166592,0.000226684],"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":[0.003213511,0.003793748,0.01071819,0.001549714,0.0001432974,0.002249862,0.009162059,0.02345578,0.06243764,0.3192888,0.1004825,0.4635049],"study_design_scores_gemma":[0.0008689365,0.003472178,0.009073427,0.0003765459,0.0001265308,0.003250635,0.001668555,0.1473078,0.02756151,0.07722996,0.7287899,0.0002739536],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2442345,0.0005482918,0.5671994,0.00266982,0.0006035899,0.002589515,0.001377731,0.01272939,0.1680478],"genre_scores_gemma":[0.5895381,0.0003501941,0.3651625,0.001103973,0.00007913227,0.001644527,0.001319477,0.0009348721,0.03986724],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.008915916,"threshold_uncertainty_score":0.02982676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.119538037865288,"score_gpt":0.391086874561359,"score_spread":0.271548836696071,"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."}}