{"id":"W2059092686","doi":"10.1177/154193120204601720","title":"Effect of History Trail Display on Human Spatial Performance under Normal and Rotated Spatial Mappings","year":2002,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Smoothness; Computer science; Computer vision; Movement (music); Artificial intelligence; Perception; Adaptation (eye); Augmented reality; Mathematics; Psychology; Physics; Mathematical analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.000422055,0.0002147819,0.0002807298,0.00003947494,0.0004819261,0.00004470267,0.0004852548,0.0001060927,0.000005059529],"category_scores_gemma":[0.00002045375,0.0001648033,0.0001351365,0.00008883917,0.0003320266,0.0003489904,0.0003339671,0.0002499698,4.781696e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001342818,"about_ca_system_score_gemma":0.000009484398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000321097,"about_ca_topic_score_gemma":0.00001063515,"domain_scores_codex":[0.9988601,0.00001551974,0.0003575239,0.0003369262,0.0001894649,0.0002405285],"domain_scores_gemma":[0.9991617,0.00008900342,0.0004553427,0.0001373854,0.00008470119,0.00007183965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000242597,0.0009448351,0.2648228,0.004072999,0.0007952357,2.911302e-7,0.2042728,0.001524839,0.4510406,0.04219367,0.007124094,0.02296514],"study_design_scores_gemma":[0.003963689,0.002983893,0.6399724,0.0009810991,0.0002680973,0.00001355829,0.003379409,0.1574046,0.1874989,0.0006046492,0.001387066,0.001542628],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998566,0.00004220909,0.0003035413,0.0001021514,0.00007048334,0.0002575537,0.00001122936,0.00004126176,0.0006055155],"genre_scores_gemma":[0.9995797,0.00003367387,0.0001759617,0.00004695354,0.00005047995,0.0000122947,0.000002154157,0.00001407573,0.00008476592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3751495,"threshold_uncertainty_score":0.6720484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885318073719128,"score_gpt":0.2252850409980328,"score_spread":0.2064318602608416,"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."}}