{"id":"W3143950049","doi":"","title":"Proceedings of the ACM symposium on Virtual reality software and technology","year":2002,"lang":"en","type":"article","venue":"","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ninth; China; Virtual reality; Library science; Software; Computer science; Geography; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003751683,0.00005880957,0.0000857835,0.00003790961,0.00002790327,0.00001058577,0.000188007,0.00007469119,0.00001121395],"category_scores_gemma":[0.00004797338,0.00003769727,0.00001298881,0.0001461236,0.00003254868,0.00002314832,0.00006414016,0.00007022673,0.000006149784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001046093,"about_ca_system_score_gemma":8.407616e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003216906,"about_ca_topic_score_gemma":9.163147e-7,"domain_scores_codex":[0.9996725,0.000001243995,0.0001048126,0.00007203839,0.00006388738,0.00008555251],"domain_scores_gemma":[0.9997511,0.00001222569,0.00001645929,0.0001810784,0.00002462911,0.00001453298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009212868,0.0002699202,0.04674889,0.001683343,0.0003218292,0.000006963732,0.002598103,0.05356034,0.5168532,0.1302703,0.2117642,0.03591374],"study_design_scores_gemma":[0.001360487,0.0005861954,0.01347625,0.0007345381,0.00006438283,0.0001213292,0.001274574,0.5503849,0.4096804,0.004850397,0.01650664,0.0009598862],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732591,0.00009310982,0.0001778806,0.002419865,0.0002166037,0.0001950689,0.000004963956,0.0007572275,0.02287617],"genre_scores_gemma":[0.9991495,0.00002408249,0.0002302348,0.00001240814,0.00001245859,0.000003633061,1.073268e-7,0.000009129887,0.00055847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4968246,"threshold_uncertainty_score":0.153725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01222031177591449,"score_gpt":0.1941454830307568,"score_spread":0.1819251712548423,"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."}}