{"id":"W4247805122","doi":"10.1109/tro.2017.2755362","title":"IEEE Robotics and Automation Society","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Robotics","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"UC Berkeley College of Chemistry; College of Engineering, Michigan State University; Canadian Institute for Advanced Research","keywords":"Robotics; Automation; Artificial intelligence; Future of robotics; Geography of robotics; Computer science; Engineering; Robot; Control engineering; Manufacturing 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000875059,0.001215101,0.0008421848,0.001580011,0.0008746635,0.00243383,0.0007469428,0.001451958,0.05564136],"category_scores_gemma":[0.001026096,0.0004624933,0.0005532607,0.001264354,0.00084451,0.001490468,0.001464662,0.001387011,0.04416863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006028532,"about_ca_system_score_gemma":0.00176938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003569727,"about_ca_topic_score_gemma":0.005244888,"domain_scores_codex":[0.9993573,0.00007322296,0.0000478012,0.0001226923,0.0003338527,0.00006526649],"domain_scores_gemma":[0.9985985,0.00008273793,0.00003291414,0.0003114235,0.0008904612,0.00008402965],"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":[0.0001038206,0.00007967946,0.0007557604,0.0002011047,0.00004434584,0.0001537143,0.00008369438,0.003179084,0.006110711,0.02424233,0.2064712,0.7585745],"study_design_scores_gemma":[0.00001063599,0.0001052139,0.001419617,0.00006933128,0.00004490876,0.0003010901,0.00006785937,0.008089558,0.004040926,0.008836223,0.9769907,0.00002387849],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01115353,0.01843625,0.2432281,0.007139036,0.020275,0.0002201058,0.0009162931,0.004842738,0.6937889],"genre_scores_gemma":[0.07558648,0.01317297,0.04223284,0.001006191,0.001832216,0.0001656751,0.00224874,0.0003747611,0.8633801],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05564136,"threshold_uncertainty_score":0.1861389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190783383319232,"score_gpt":0.2421910525260054,"score_spread":0.2231127141940822,"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."}}