{"id":"W4392719439","doi":"10.1109/access.2024.3376407","title":"Development and Testing of Novel Soft Sleeve Actuators","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Actuator; Computer science; System testing; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006750984,0.0004253916,0.0002942109,0.0004514761,0.0002643399,0.0003116371,0.0005895871,0.0007195919,0.001066202],"category_scores_gemma":[0.0009338649,0.0002236662,0.000254434,0.0002502037,0.0004458504,0.000501619,0.0005680139,0.0003682418,0.0003735564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001485187,"about_ca_system_score_gemma":0.0002654815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001385604,"about_ca_topic_score_gemma":0.0002558969,"domain_scores_codex":[0.9993801,0.000037308,0.00005022204,0.00009985292,0.0003724492,0.00006002776],"domain_scores_gemma":[0.9992379,0.0001580688,0.0001855119,0.0001346921,0.0001782183,0.0001056799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006736426,0.00006086596,0.0004567099,0.0001843954,0.000009801643,0.0002203579,0.000134614,0.001768732,0.9891798,0.0002845279,0.0001077151,0.007525106],"study_design_scores_gemma":[0.00002573627,0.00140293,0.003701472,0.0000287758,0.00001106246,0.0002138318,0.00008734711,0.00896319,0.9814728,0.0001241108,0.003942202,0.00002647131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765618,0.0004603741,0.02051129,0.00005816342,0.000093845,0.0001736249,0.0001945753,0.0002129157,0.001733443],"genre_scores_gemma":[0.9627715,0.0003242,0.03345093,0.00003315788,0.00001173539,0.0002267168,0.0001646,0.00003247648,0.002984695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001066202,"threshold_uncertainty_score":0.003570318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0608534048905529,"score_gpt":0.2925571068724248,"score_spread":0.2317037019818718,"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."}}