{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0003231653,0.0004276368,0.0005136832,0.0001913746,0.002977827,0.0001651815,0.0005751097,0.0002628303,0.000003188236],"category_scores_gemma":[0.00009430751,0.0004336494,0.0002192591,0.0003531035,0.00007185459,0.0005413165,0.00008749326,0.0003252656,0.00003410489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002949317,"about_ca_system_score_gemma":0.001650903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004636319,"about_ca_topic_score_gemma":0.000451412,"domain_scores_codex":[0.9973046,0.0001914335,0.0004399427,0.0009236931,0.000716266,0.0004240806],"domain_scores_gemma":[0.9978077,0.0002629191,0.000714392,0.000318661,0.0006640115,0.0002323078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00369906,0.0001433047,0.000525341,0.0009598705,0.001123132,0.002565583,0.3180546,0.007863491,0.01796867,0.6237675,0.0001705193,0.02315894],"study_design_scores_gemma":[0.008783966,0.00429524,0.01724746,0.01470798,0.001723102,0.00253549,0.5631866,0.1909923,0.04727652,0.0004001253,0.1432517,0.005599504],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2036507,0.002058182,0.6602823,0.0002619205,0.003256725,0.002855865,0.0002154009,0.001470556,0.1259483],"genre_scores_gemma":[0.9237048,0.00002947214,0.00419788,0.00003049152,0.000378189,0.0001278406,0.0004911041,0.00004879355,0.07099142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7200541,"threshold_uncertainty_score":0.9998115,"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."}}