{"id":"W2164277546","doi":"10.24908/pceea.v0i0.3774","title":"RVS4W: A VISUALIZATION TOOL FOR ROBOT DESIGN","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visualization; Upload; Robot; Window (computing); Computer science; Human–computer interaction; Robotics; Graphics; Artificial intelligence; Computer graphics (images); World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003956032,0.0001403247,0.00013566,0.0002656375,0.0001332317,0.00006663847,0.0001835653,0.0001439772,0.00005136763],"category_scores_gemma":[0.0006852312,0.0001496488,0.00007932929,0.0004047826,0.000005583649,0.0002576804,0.000008231293,0.0001254696,0.000009931468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001119566,"about_ca_system_score_gemma":0.0002053465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007275167,"about_ca_topic_score_gemma":0.0004774922,"domain_scores_codex":[0.9991377,0.000005615481,0.0002793826,0.0001311943,0.0001781091,0.0002679876],"domain_scores_gemma":[0.9992075,0.00004297895,0.000164032,0.00006677179,0.0004071091,0.0001116098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002380687,0.000177861,0.1137516,0.001600615,0.0005586077,1.24431e-7,0.01365224,0.5939853,0.03066553,0.09792776,0.1391812,0.008475412],"study_design_scores_gemma":[0.0005246527,0.00004599545,0.2345482,0.0002342654,0.0001306586,0.000003857156,0.0003434122,0.7170845,0.01769372,0.0007257368,0.02790899,0.0007559264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2501642,0.0007393868,0.6761944,0.003064902,0.01831545,0.008305025,0.00003762688,0.003145337,0.04003359],"genre_scores_gemma":[0.9905112,0.000006047995,0.008009565,0.00009965759,0.0001483672,0.0001278152,0.000008585433,0.00005831041,0.001030418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.740347,"threshold_uncertainty_score":0.6102502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02277263084517683,"score_gpt":0.2112819270009108,"score_spread":0.1885092961557339,"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."}}