{"id":"W2543184010","doi":"10.1016/j.cag.2016.10.002","title":"Foreword to the Special Section on the International Conference on E-Learning and Games 2016 (Edutainment ’16)","year":2016,"lang":"en","type":"article","venue":"Computers & Graphics","topic":"Innovative Educational Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Computer science; Projection (relational algebra); Line (geometry); Visualization; Matching (statistics); Measure (data warehouse); Space (punctuation); Artificial intelligence; Dimension (graph theory); Contrast (vision); Radiosity (computer graphics); Adaptation (eye); Computer vision; Computer graphics (images); Algorithm; Mathematics; Geometry; Data mining","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":[],"consensus_categories":[],"category_scores_codex":[0.0004054715,0.0001316422,0.00007824027,0.0001917918,0.0002793477,0.0001671005,0.001042795,0.00004853268,0.00001890205],"category_scores_gemma":[0.000164662,0.00006434651,0.00003498281,0.0003894054,0.0001639865,0.0001324726,0.0004054317,0.0002433488,0.00003655563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001067291,"about_ca_system_score_gemma":0.00005272687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003848502,"about_ca_topic_score_gemma":0.000006441265,"domain_scores_codex":[0.9989193,0.0000705505,0.0001436132,0.0003280465,0.0003592995,0.0001791645],"domain_scores_gemma":[0.9988756,0.0005138507,0.0000944791,0.0003201458,0.0001667004,0.00002925886],"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":[0.00001177392,0.00002148237,0.0004533654,7.490335e-7,0.00001782968,6.086127e-7,0.00034595,0.00001178124,0.0001429778,0.87543,0.04199215,0.08157136],"study_design_scores_gemma":[0.0005941386,0.001277008,0.03436962,0.000434646,0.000006994782,0.00002644986,0.0008369,0.008770664,0.004594958,0.2449964,0.7035075,0.0005848036],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1165913,0.00001787229,0.556708,0.314745,0.00741015,0.0004088661,0.000006082174,0.0002391743,0.003873657],"genre_scores_gemma":[0.9916696,0.0000723744,0.002712117,0.003681494,0.001432804,0.00004168085,0.000001136228,0.000007293027,0.0003815123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8750783,"threshold_uncertainty_score":0.2623974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03282669563954523,"score_gpt":0.2734391486509336,"score_spread":0.2406124530113884,"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."}}