{"id":"W3213354518","doi":"10.1109/lra.2021.3129136","title":"OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation","year":2021,"lang":"en","type":"article","venue":"IEEE Robotics and Automation Letters","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Benchmark (surveying); Upload; Computer science; Robot; Competition (biology); Cloud computing; Table (database); Artificial intelligence; Workflow; Set (abstract data type); Field (mathematics); Data mining; Database; Operating system; Programming language","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":[0.008404378,0.005290706,0.002291845,0.003791681,0.002455976,0.003283415,0.008346949,0.003220211,0.008468995],"category_scores_gemma":[0.01483915,0.0008862655,0.00201999,0.005623611,0.001683497,0.003552074,0.003891222,0.002809338,0.004941189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004584567,"about_ca_system_score_gemma":0.006036989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03091237,"about_ca_topic_score_gemma":0.02736771,"domain_scores_codex":[0.9890526,0.002330052,0.0008446887,0.001375782,0.004716937,0.001679886],"domain_scores_gemma":[0.9877686,0.002740122,0.0007411054,0.002294075,0.004182012,0.002274001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003701017,0.002631633,0.005260334,0.003026722,0.0004675147,0.0006561502,0.0002502363,0.2285699,0.01400965,0.01883616,0.5195843,0.2030064],"study_design_scores_gemma":[0.001410461,0.001584502,0.008868699,0.000334736,0.0001269866,0.0004303636,0.0003204605,0.7691766,0.02077762,0.0122012,0.1845492,0.0002192116],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2421729,0.01508437,0.3354439,0.006481674,0.007500146,0.00681953,0.05960488,0.1587783,0.1681142],"genre_scores_gemma":[0.4276152,0.002863003,0.3305193,0.001793236,0.0004385095,0.003429391,0.2012062,0.01563408,0.01650113],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03091237,"threshold_uncertainty_score":0.06146491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01625072530844462,"score_gpt":0.2220119569381365,"score_spread":0.2057612316296919,"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."}}