{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002440918,0.0003274459,0.0003453998,0.0004966469,0.0008793591,0.0004652056,0.005350258,0.0004315272,0.001201568],"category_scores_gemma":[0.0002563458,0.0003534559,0.000199394,0.0009622974,0.0003022412,0.0001418724,0.01905609,0.00503168,0.0006372527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00135743,"about_ca_system_score_gemma":0.0007238531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002008887,"about_ca_topic_score_gemma":0.000007005918,"domain_scores_codex":[0.9928129,0.001298839,0.0004507386,0.001523855,0.002983677,0.0009300099],"domain_scores_gemma":[0.9938051,0.0009851146,0.0001658197,0.00452907,0.0001415829,0.0003733301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001697901,0.0007084304,0.0001192613,0.0002090417,0.0001240055,0.00007688851,0.001937708,0.1279429,0.0002097822,0.8331755,0.008661387,0.02681812],"study_design_scores_gemma":[0.0006689398,0.0008900934,0.006804908,0.000587377,0.00003311885,0.00001671229,0.002936477,0.139028,0.0009673858,0.3228318,0.5234057,0.001829524],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007851698,0.0005019314,0.9792469,0.01009561,0.0003519683,0.001799437,0.000163222,0.0003456459,0.00671008],"genre_scores_gemma":[0.8822942,0.0031135,0.09206307,0.0005574736,0.000822541,0.006945529,0.001013632,0.000193843,0.01299621],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8871838,"threshold_uncertainty_score":0.9998918,"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."}}