{"id":"W1485470312","doi":"10.18260/edgj.v77i3.388","title":"Visualizing Compound Rotations with Virtual Reality","year":2019,"lang":"en","type":"article","venue":"Engineering design graphics journal","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Irish Research Council","keywords":"Virtual reality; Computer graphics (images); Visualization; Computer science; Human–computer interaction; Mathematics education; Multimedia; Engineering drawing; Psychology; Artificial intelligence; Engineering","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":[0.0009407686,0.0007663348,0.0004197891,0.0005623818,0.0002670165,0.001615888,0.0005930951,0.0005984608,0.008347478],"category_scores_gemma":[0.004471811,0.0002298998,0.0004558861,0.0004010205,0.0006725384,0.001762084,0.001967297,0.0004872653,0.001009922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001925538,"about_ca_system_score_gemma":0.0004396149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005974629,"about_ca_topic_score_gemma":0.0008780332,"domain_scores_codex":[0.9990731,0.0005462257,0.00004198377,0.00009990072,0.00016148,0.00007717263],"domain_scores_gemma":[0.9982992,0.001027229,0.000158281,0.0002869736,0.0001464601,0.00008188284],"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":[0.001498069,0.0006926549,0.01098966,0.001616463,0.0001667389,0.002207274,0.02775855,0.05261983,0.2113436,0.04533694,0.01302124,0.6327489],"study_design_scores_gemma":[0.0008952481,0.01099639,0.06840213,0.001864021,0.0004940826,0.01386403,0.02891688,0.2312271,0.1893034,0.08567385,0.367423,0.0009399148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5459433,0.0009258796,0.426024,0.0006294927,0.000165855,0.00023884,0.0003124133,0.00238298,0.02337723],"genre_scores_gemma":[0.8012886,0.0008482027,0.1928611,0.0001075924,0.00003448709,0.0001611574,0.0001854882,0.0001775021,0.004335839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008347478,"threshold_uncertainty_score":0.02792513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01983349795862566,"score_gpt":0.2319265362184682,"score_spread":0.2120930382598425,"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."}}