{"id":"W4401206233","doi":"10.3390/machines12080527","title":"Design of Soft Robots: A Review of Methods and Future Opportunities for Research","year":2024,"lang":"en","type":"review","venue":"Machines","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robot; Computer science; Process (computing); Engineering design process; Feature (linguistics); Design process; Soft materials; Architecture; Systems design; Artificial intelligence; Systems engineering; Human–computer interaction; Engineering; Work in process; Software engineering; Mechanical engineering; Nanotechnology; Operations management","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002684684,0.001813344,0.002506922,0.005297855,0.0006114784,0.002233235,0.001715344,0.002029989,0.005027004],"category_scores_gemma":[0.0041833,0.001145117,0.001515025,0.005563685,0.001443449,0.003780986,0.001353316,0.002249387,0.00231287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001427181,"about_ca_system_score_gemma":0.003544497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001473968,"about_ca_topic_score_gemma":0.002154924,"domain_scores_codex":[0.9984132,0.0003214444,0.0003018188,0.0002497784,0.0006334687,0.00008025887],"domain_scores_gemma":[0.9960963,0.00282627,0.0002941694,0.0001403371,0.0005573423,0.00008559202],"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":[0.0000552593,0.0001106019,0.0002134649,0.0891953,0.0001596129,0.0001531867,0.0002714615,0.002282229,0.002522452,0.02626463,0.01240516,0.8663666],"study_design_scores_gemma":[0.00002167784,0.0001841489,0.0005790936,0.02991473,0.0002340227,0.0007080055,0.0001991956,0.0007684162,0.001470802,0.01579742,0.950046,0.00007649515],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001392342,0.9958748,0.002289053,0.0002656606,0.0001666029,0.00001430974,0.00002045526,0.00001400922,0.001215835],"genre_scores_gemma":[0.0009668142,0.9957725,0.002569031,0.0001570282,0.0001114922,0.00003033166,0.00002915443,0.000006864973,0.0003566293],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005297855,"threshold_uncertainty_score":0.01681697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4201236439496981,"score_gpt":0.5181505638691103,"score_spread":0.09802691991941215,"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."}}