{"id":"W4309905679","doi":"10.21203/rs.3.rs-2121771/v1","title":"UniRoVE: Unified Robot Virtual Environment Framework","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Innovation Cluster (Canada)","funders":"Agencia Estatal de Investigación; European Regional Development Fund","keywords":"Robotics; Robot; Artificial intelligence; Human–computer interaction; Process (computing); Computer science; Virtual reality; Flattening; Educational robotics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007810773,0.001484158,0.00140233,0.0008537825,0.0008073281,0.002383657,0.00397735,0.001473762,0.02451145],"category_scores_gemma":[0.001540548,0.001003995,0.001409232,0.0007373741,0.0007505553,0.002400387,0.004978954,0.002102081,0.009983213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004445941,"about_ca_system_score_gemma":0.001008141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003794038,"about_ca_topic_score_gemma":0.008179035,"domain_scores_codex":[0.9993155,0.0001173213,0.00002616559,0.0001291467,0.0002891913,0.0001225537],"domain_scores_gemma":[0.9997346,0.00003898533,0.00001390975,0.000118297,0.00005374848,0.00004044176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009591003,0.0002575747,0.0006786247,0.0008528567,0.0002546076,0.0005624111,0.0005436194,0.1308867,0.01610193,0.3179806,0.1025341,0.4283878],"study_design_scores_gemma":[0.0001767211,0.0001691916,0.0004240281,0.0001199343,0.00007885612,0.0003338661,0.0001308336,0.616014,0.01165228,0.1330556,0.2377199,0.0001246829],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.001271961,0.0002053924,0.9775301,0.0000615494,0.00009081001,0.00006686492,0.001002369,0.01571835,0.004052502],"genre_scores_gemma":[0.1023789,0.0006915412,0.8661518,0.0002155801,0.00008593177,0.0007196821,0.006034506,0.005303052,0.018419],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02451145,"threshold_uncertainty_score":0.081999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08133156683844328,"score_gpt":0.3951994548319517,"score_spread":0.3138678879935084,"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."}}