{"id":"W2625379055","doi":"10.1089/soro.2016.0039","title":"A Soft Gripper with Rigidity Tunable Elastomer Strips as Ligaments","year":2017,"lang":"en","type":"article","venue":"Soft Robotics","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McMaster University","keywords":"Rigidity (electromagnetism); Actuator; Materials science; Elastomer; Soft robotics; Flexural rigidity; Stiffness; Robot; Pneumatic actuator; Mechanical engineering; Composite material; Engineering; Computer science; Electrical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001062877,0.0002388193,0.0002283698,0.00005021473,0.0005549467,0.0002662389,0.0004567881,0.0001185371,0.00007010836],"category_scores_gemma":[0.00007215572,0.0002168903,0.00006207191,0.00008943261,0.0001117915,0.000217897,0.00008972414,0.0003179046,0.0005641719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007821992,"about_ca_system_score_gemma":0.00005010837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004779622,"about_ca_topic_score_gemma":0.00004198743,"domain_scores_codex":[0.9988562,0.000008669084,0.0002047552,0.0002542124,0.0002518434,0.0004243229],"domain_scores_gemma":[0.99867,0.00006078179,0.00008142799,0.0009241981,0.00008080315,0.0001827693],"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":[0.00001297445,0.0001513665,0.02501677,0.00008604131,0.0001938362,0.00002212816,0.0002057582,0.9573234,0.001255591,0.004987044,0.008194868,0.002550199],"study_design_scores_gemma":[0.007111842,0.0007591029,0.1882695,0.0007837457,0.001015676,0.0002250621,0.0006618761,0.4853356,0.01724642,0.02127252,0.2715675,0.005751175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3931843,0.0006483552,0.5451629,0.002130826,0.002317202,0.001553148,0.00009309426,0.002275302,0.05263485],"genre_scores_gemma":[0.9859515,0.00005760917,0.01156647,0.00008278804,0.0001907017,0.000039135,0.00001441128,0.00007485025,0.002022479],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5927672,"threshold_uncertainty_score":0.884453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01492588945453344,"score_gpt":0.242989348176071,"score_spread":0.2280634587215375,"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."}}