{"id":"W2505245846","doi":"10.4018/978-1-61520-781-7.ch007","title":"Exploratory Digital Games for Advanced Skills","year":2010,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Educational Games and Gamification","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Embodied cognition; Set (abstract data type); Process (computing); Exploratory research; Game design; Flexibility (engineering); Field (mathematics); Human–computer interaction; Multimedia; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006959058,0.000358557,0.0003288106,0.00005630221,0.00007064322,0.00008176827,0.0003005083,0.0005835241,0.0002944296],"category_scores_gemma":[0.00003537984,0.0003669198,0.0002588917,0.00001009857,0.0001426044,0.00006901783,0.00003996666,0.0002853096,0.001014261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001070863,"about_ca_system_score_gemma":0.000163796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003212602,"about_ca_topic_score_gemma":0.00001782325,"domain_scores_codex":[0.998531,0.000006909635,0.0003739916,0.0005848067,0.0001987951,0.0003044628],"domain_scores_gemma":[0.9985825,0.0001013609,0.000293263,0.0006526547,0.0002208004,0.000149468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000479997,0.00004356107,0.00001578103,0.00001596743,0.00008664084,0.00000276893,0.0003257958,1.854175e-7,0.00003538304,0.9270749,0.008948834,0.06340218],"study_design_scores_gemma":[0.000335757,0.0000785463,0.0001520469,0.00004565474,0.00003639471,0.00001207475,0.00009631269,1.292836e-7,0.00002647642,0.3469703,0.6519451,0.000301235],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008148214,0.0005511681,0.0004179365,0.0001829854,0.00312284,0.0007274241,0.00105966,0.0001250716,0.9929981],"genre_scores_gemma":[0.1035901,0.000005170887,0.001105529,0.0008681596,0.001400091,0.0004147994,0.0001921689,0.00010773,0.8923162],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6429963,"threshold_uncertainty_score":0.9998783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01935768857563145,"score_gpt":0.3032729500670198,"score_spread":0.2839152614913883,"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."}}