{"id":"W4230259878","doi":"10.1109/tase.2014.2331099","title":"IEEE Robotics and Automation Society Information","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Automation Science and Engineering","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Robotics; Automation; Artificial intelligence; Geography of robotics; Future of robotics; Robot; Engineering; Computer science; Manufacturing engineering; Engineering management; Systems engineering; Software engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003930104,0.0001270111,0.00009968571,0.0002026305,0.0002118014,0.0001910054,0.00008363616,0.00006125529,0.000006004374],"category_scores_gemma":[0.00001264224,0.0001282528,0.00002483224,0.0004007495,0.00006810595,0.001333877,0.000001078054,0.0001262797,0.0000192744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007002451,"about_ca_system_score_gemma":0.00001607639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004415503,"about_ca_topic_score_gemma":0.000001123106,"domain_scores_codex":[0.9991712,0.000005061897,0.0002083967,0.0001273937,0.0002937697,0.0001941573],"domain_scores_gemma":[0.99963,0.00003848152,0.00002367638,0.0001305212,0.0000807968,0.00009650689],"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":[4.217112e-7,0.00000341692,0.000001806655,0.00005337117,0.000004772554,3.940447e-8,0.0005090174,0.9202342,0.007384336,0.0003307422,0.00003362958,0.07144424],"study_design_scores_gemma":[0.00008890395,0.00002148972,0.000607911,0.00002939157,0.000007435801,0.000008293974,0.00004489437,0.9777469,0.02087421,0.00002576633,0.0003997863,0.0001449882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07946464,0.0000117816,0.9191909,0.00006362577,0.0005072711,0.0000961968,0.00000221586,0.0004984584,0.0001648738],"genre_scores_gemma":[0.987693,0.00009435049,0.01209029,0.00006657227,0.00002185131,0.00001387153,9.699546e-7,0.00001002241,0.00000909386],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9082283,"threshold_uncertainty_score":0.5229997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009366702195194629,"score_gpt":0.2086436294209404,"score_spread":0.1992769272257458,"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."}}