{"id":"W3042107263","doi":"","title":"Towards a Psychological Model for Learning in Avatar-based Virtual Environments: How Important is Spatial Processing?","year":2018,"lang":"en","type":"article","venue":"EdMedia + Innovate Learning","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Avatar; Computer science; Human–computer interaction; Affordance; Artificial intelligence; Psychology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004624978,0.0002535308,0.0002473572,0.0002348363,0.0001594639,0.00007957672,0.0001418625,0.0002272146,0.0001654347],"category_scores_gemma":[0.000312212,0.0002583861,0.00005592975,0.0004523321,0.000109747,0.0002075987,0.00002841757,0.0007367905,0.00003257536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001048485,"about_ca_system_score_gemma":0.00004260419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009139793,"about_ca_topic_score_gemma":0.00001676753,"domain_scores_codex":[0.9984163,0.00004503602,0.0004198741,0.0003757103,0.0002997726,0.0004432998],"domain_scores_gemma":[0.9995384,0.0000447208,0.0001387701,0.0001193266,0.00008055202,0.00007823353],"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":[0.0009316448,0.0004274826,0.04260905,0.0002880917,0.00008810315,0.00004783762,0.009804783,0.1590117,0.1466041,0.0002651775,0.002684271,0.6372378],"study_design_scores_gemma":[0.001480183,0.0004111096,0.001839441,0.00008095978,0.00001018177,0.000002044025,0.0001184713,0.979058,0.009388621,0.0001890607,0.007086759,0.0003352098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5014018,0.00003547136,0.49633,0.0008173758,0.0003577436,0.0003132258,0.00001084645,0.0003573671,0.0003761854],"genre_scores_gemma":[0.9948416,0.00001445648,0.00345673,0.0005276241,0.0004732297,0.0001223803,0.0002161497,0.00006788711,0.0002799966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8200463,"threshold_uncertainty_score":0.9999868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02297306503058364,"score_gpt":0.2707651382811815,"score_spread":0.2477920732505979,"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."}}