{"id":"W2288745733","doi":"10.1007/s11042-016-3394-2","title":"The effects of stereoscopic 3D on knowledge retention within a serious gaming environment","year":2016,"lang":"en","type":"article","venue":"Multimedia Tools and Applications","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland; University of Toronto; Ontario Tech University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Stereoscopy; Computer science; Knowledge retention; Task (project management); Human–computer interaction; Significant difference; Artificial intelligence; Simulation","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001297543,0.0002590982,0.0003245435,0.0005912007,0.0006871998,0.00145554,0.0008024467,0.0006076721,0.005941458],"category_scores_gemma":[0.01495022,0.0001758666,0.0003202213,0.000444922,0.0004949112,0.0008143003,0.001280316,0.0005956835,0.000336307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000446114,"about_ca_system_score_gemma":0.001368454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01478894,"about_ca_topic_score_gemma":0.01873894,"domain_scores_codex":[0.9989022,0.000328385,0.00007163122,0.0001073789,0.0002827755,0.0003075259],"domain_scores_gemma":[0.9821988,0.01260486,0.00126191,0.0005781497,0.001375457,0.001980859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.03600043,0.04495322,0.2641762,0.001181298,0.0005055503,0.0009326237,0.04194722,0.005156637,0.1205462,0.001187126,0.001494782,0.4819188],"study_design_scores_gemma":[0.000476782,0.03197848,0.8990865,0.0002087352,0.0005557336,0.0003476403,0.02654701,0.006368143,0.02945796,0.001133817,0.003659381,0.0001797638],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989009,0.00002269789,0.00007498993,0.00001573341,0.000002579066,0.000009111741,0.00001613674,0.000005016079,0.0009528878],"genre_scores_gemma":[0.9981857,0.00004702615,0.0002917569,0.00001788597,0.000003073402,0.00001534377,0.00003001424,0.000004934564,0.001404239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01478894,"threshold_uncertainty_score":0.02940571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01757434029917723,"score_gpt":0.2530541303856172,"score_spread":0.23547979008644,"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."}}