{"id":"W3036214810","doi":"10.1002/aisy.202000072","title":"Opportunities and Challenges in Soft Robotics","year":2020,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Robotics; Artificial intelligence; Soft robotics; Robot; Computer science; Automation; Conformable matrix; Human–computer interaction; Engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006774362,0.0001365331,0.0002354818,0.00002773927,0.0000386571,0.0000274722,0.00009705012,0.00003059761,0.00005499231],"category_scores_gemma":[0.000005095256,0.0001352825,0.00003329829,0.00004709795,0.00003304955,0.00009318462,0.00004568301,0.0001001829,0.00005035234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001050713,"about_ca_system_score_gemma":0.00002009489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000413965,"about_ca_topic_score_gemma":0.000004766702,"domain_scores_codex":[0.9992257,0.00003072168,0.0002448613,0.0002165687,0.00008252705,0.0001995894],"domain_scores_gemma":[0.999607,0.00004756459,0.00007360501,0.0001212699,0.0000305567,0.0001199952],"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":[0.00007527653,0.0002336197,0.02010074,0.0009908275,0.000171468,0.00004363474,0.01262399,0.1880926,0.002174358,0.3595635,0.0009646617,0.4149653],"study_design_scores_gemma":[0.002154277,0.0006752269,0.0009096342,0.0009956431,0.00009412893,0.00001659709,0.1295638,0.09659272,0.00552734,0.006245101,0.7551255,0.002100004],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06460002,0.2181092,0.6357395,0.02355206,0.002877478,0.002998078,0.0001196717,0.0004345438,0.05156949],"genre_scores_gemma":[0.9935949,0.005331202,0.0005262513,0.00006631495,0.0001757361,0.00000847627,0.00001253175,0.00001998046,0.0002646197],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9289949,"threshold_uncertainty_score":0.5516663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1318650069802896,"score_gpt":0.2684640844520527,"score_spread":0.1365990774717631,"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."}}