{"id":"W3139000933","doi":"10.71781/10366","title":"Theseus : a 3D virtual reality orientation game with real-time guidance system for cognitive training","year":2020,"lang":"en","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Virtual reality; Orientation (vector space); Human–computer interaction; Training (meteorology); Computer science; Training system; Cognition; Psychology; Multimedia; Political science; Geography; Mathematics; Neuroscience","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000462025,0.001447057,0.0005734731,0.0006428573,0.0003348396,0.0009399631,0.001142743,0.001047355,0.01385351],"category_scores_gemma":[0.001675944,0.0003325871,0.0008756379,0.0001593003,0.0003143846,0.00108478,0.001490825,0.0006821852,0.002572848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003122875,"about_ca_system_score_gemma":0.0007947826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003382836,"about_ca_topic_score_gemma":0.005149341,"domain_scores_codex":[0.999638,0.00009814573,0.00002655271,0.00006602081,0.0001026395,0.00006863454],"domain_scores_gemma":[0.9996397,0.0001127846,0.00002285854,0.00002903562,0.00008651506,0.000109016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006840795,0.006869842,0.01243712,0.003915275,0.0005713858,0.001898434,0.003572323,0.01759919,0.2211098,0.008324837,0.04381726,0.6730437],"study_design_scores_gemma":[0.004282614,0.02195472,0.1173145,0.001667034,0.001567426,0.005830518,0.003789889,0.331336,0.1363703,0.01481039,0.3598349,0.001241747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5677994,0.002995966,0.3406144,0.001331863,0.001191281,0.003446203,0.004320725,0.01970871,0.05859144],"genre_scores_gemma":[0.7327694,0.001854397,0.2001288,0.0007782971,0.00009469509,0.002987965,0.003410457,0.0007823033,0.05719369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01385351,"threshold_uncertainty_score":0.04634464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01372309376201157,"score_gpt":0.2054800885558552,"score_spread":0.1917569947938436,"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."}}