{"id":"W4232165056","doi":"10.1089/soro.2016.0043","title":"Arthrobots","year":2017,"lang":"en","type":"article","venue":"Soft Robotics","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Materials Research; Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency; National Science Foundation; Vetenskapsrådet; Hansjörg Wyss Institute for Biologically Inspired Engineering, Harvard University; Harvard University; Northwestern University; U.S. Department of Energy","keywords":"Inflatable; Crawling; Exoskeleton; Robot; Slippage; Computer science; Structural engineering; Mechanical engineering; Engineering; Simulation; Artificial intelligence; Anatomy","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":[0.0006002203,0.001117223,0.0005893835,0.001337997,0.0009323366,0.001694996,0.001829128,0.001495281,0.0492243],"category_scores_gemma":[0.001127466,0.0005362033,0.0007476549,0.0007596412,0.0006986574,0.002003946,0.003227639,0.001172384,0.03429038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006445617,"about_ca_system_score_gemma":0.0008634931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007086766,"about_ca_topic_score_gemma":0.0008843392,"domain_scores_codex":[0.9992695,0.00006686357,0.00004157954,0.0001491361,0.000350449,0.0001224364],"domain_scores_gemma":[0.9995388,0.00007036765,0.00005390579,0.00008602603,0.0001153746,0.0001356206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006282273,0.0004733572,0.002817683,0.002098085,0.0000899971,0.0009182523,0.0005143173,0.005652745,0.09485519,0.1028443,0.2702261,0.5188817],"study_design_scores_gemma":[0.00005932369,0.0002076889,0.0007649322,0.0001551397,0.00002714369,0.0007555108,0.00007615918,0.005433954,0.01475625,0.00878332,0.9689285,0.00005210721],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04199481,0.01449304,0.3135448,0.003227354,0.004912296,0.001311712,0.009655788,0.07872428,0.5321358],"genre_scores_gemma":[0.2748923,0.01165912,0.2466431,0.00553395,0.0009173992,0.00233828,0.02627287,0.007940806,0.4238021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0492243,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02326378991722501,"score_gpt":0.2457374908491114,"score_spread":0.2224737009318864,"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."}}