{"id":"W2217691195","doi":"","title":"An Exploration of the Application of the Wiimote Whiteboard in Education","year":2009,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Education and Technology Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Whiteboard; Computer science; Human–computer interaction; Psychology; Multimedia","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":[0.001068537,0.0003792927,0.0001585326,0.0005910579,0.0007576094,0.003474529,0.0007246866,0.001387328,0.01024472],"category_scores_gemma":[0.002297035,0.0001520643,0.0002842541,0.0007251975,0.0007319064,0.001852211,0.001201467,0.0005235902,0.001237948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004535224,"about_ca_system_score_gemma":0.000701311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002400851,"about_ca_topic_score_gemma":0.002903974,"domain_scores_codex":[0.9993607,0.0003586751,0.00001318205,0.00005935749,0.0001424609,0.00006551067],"domain_scores_gemma":[0.9991673,0.0005951868,0.000021432,0.00006130738,0.0001151961,0.00003956781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008349857,0.0005521827,0.01042164,0.000908823,0.00008112006,0.003494125,0.01315671,0.01278429,0.0835792,0.1424788,0.01025334,0.7214549],"study_design_scores_gemma":[0.0001521649,0.00204408,0.02076942,0.001430813,0.0002269872,0.006128591,0.02159123,0.06289392,0.09226116,0.0438383,0.7485125,0.0001508626],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4571073,0.004239315,0.1842004,0.00480066,0.0005872471,0.0002909492,0.0001925125,0.0008910315,0.3476906],"genre_scores_gemma":[0.9020003,0.00226148,0.05301952,0.0006264993,0.00009124429,0.00009689672,0.00005868828,0.0001378643,0.04170754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01024472,"threshold_uncertainty_score":0.03427202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07014201867096312,"score_gpt":0.3460413182956047,"score_spread":0.2758992996246415,"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."}}