{"id":"W2774368103","doi":"10.1109/iros.2017.8206223","title":"Fabrication, modeling, and control of plush robots","year":2017,"lang":"en","type":"article","venue":"","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Winch; Robot; Computer science; Leverage (statistics); Mobile robot; Artificial intelligence; Simulation; Control engineering; Engineering; Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002217941,0.00003036493,0.00005304325,0.00001020397,0.00005265211,0.00001909465,0.00007213301,0.00001698375,0.00001058706],"category_scores_gemma":[0.00001484626,0.00002829361,0.000009262882,0.000008077237,0.0000146705,0.00003572726,0.000008901919,0.00001842824,0.00000455322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002793449,"about_ca_system_score_gemma":0.000002286918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002711946,"about_ca_topic_score_gemma":0.000005321689,"domain_scores_codex":[0.9998209,7.193578e-7,0.00006694165,0.0000423762,0.00002645348,0.00004261326],"domain_scores_gemma":[0.9997184,0.000008269789,0.00001438508,0.0002053547,0.0000321939,0.00002140887],"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":[9.301988e-7,0.00001284754,0.005624979,0.00002299306,0.00002864783,8.10461e-8,0.00006857503,0.9507388,0.005978268,0.03203399,0.0007568105,0.004733042],"study_design_scores_gemma":[0.0001431039,0.000001863936,0.004848447,0.000002447903,0.000005946439,2.38046e-7,0.000005146318,0.9930536,0.0005306136,0.001193797,0.0001794184,0.00003534473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03670721,0.00009844815,0.9550553,0.000167916,0.00002787837,0.00006196597,0.000002217763,0.0000498788,0.007829162],"genre_scores_gemma":[0.997009,0.00003546115,0.002815443,0.0000108739,0.00001969737,0.000007655858,7.604652e-7,0.000005292464,0.00009576399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9603018,"threshold_uncertainty_score":0.115378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01551742726788823,"score_gpt":0.235103474055626,"score_spread":0.2195860467877378,"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."}}