{"id":"W2166513525","doi":"10.1109/vr.2000.840495","title":"First steps with a rideable computer","year":2002,"lang":"en","type":"article","venue":"","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","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":[0.0004701024,0.0008649642,0.0003835882,0.0004747717,0.001250832,0.002407842,0.001178095,0.00130289,0.09677529],"category_scores_gemma":[0.002894475,0.0004276451,0.0004965227,0.0002482656,0.000627402,0.002333617,0.001997539,0.001343327,0.04666715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002785058,"about_ca_system_score_gemma":0.001003393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003463075,"about_ca_topic_score_gemma":0.004994338,"domain_scores_codex":[0.999633,0.00006331853,0.00001787835,0.00009896199,0.0001380048,0.0000488583],"domain_scores_gemma":[0.999161,0.0001755407,0.00002715854,0.0002668477,0.0001902118,0.0001792725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009491789,0.0005974317,0.003708066,0.0006069458,0.00007621097,0.001042488,0.004613313,0.003478574,0.04508496,0.0473719,0.1594627,0.7330083],"study_design_scores_gemma":[0.0001196612,0.0009146399,0.001628791,0.0001923386,0.00005055624,0.0009052314,0.001240467,0.01139688,0.01667214,0.0158614,0.9508779,0.0001399277],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04574852,0.0009116704,0.5541353,0.003712149,0.001147603,0.001737906,0.001344128,0.04046077,0.3508019],"genre_scores_gemma":[0.1584848,0.0007910577,0.6364338,0.001504232,0.0001146101,0.0006102627,0.00150374,0.001780409,0.1987771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09677529,"threshold_uncertainty_score":0.3237456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089511223367772,"score_gpt":0.1569248502360893,"score_spread":0.1460297380024116,"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."}}