{"id":"W4392449380","doi":"10.1089/rorep.2023.0028","title":"Finite Arc Method: Fast-Solution Extended Piecewise Constant Curvature Model of Soft Robots with Large Variable Curvature Deformations","year":2024,"lang":"en","type":"article","venue":"Robotics Reports","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Piecewise; Curvature; Constant curvature; Constant (computer programming); Arc (geometry); Variable (mathematics); Mathematical analysis; Mathematics; Robot; Geometry; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003613791,0.000296985,0.0003559339,0.0001848282,0.0001337367,0.00009881082,0.0001259068,0.0002362758,0.00002638191],"category_scores_gemma":[0.00006679,0.0002600038,0.0001046725,0.0007578989,0.00004841289,0.0002826914,0.00005507705,0.0005003649,0.000008343661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009963114,"about_ca_system_score_gemma":0.0002106899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008874257,"about_ca_topic_score_gemma":0.00001853961,"domain_scores_codex":[0.9981966,0.00002020387,0.0006465114,0.0003498723,0.0003581549,0.0004286323],"domain_scores_gemma":[0.9986988,0.0001478039,0.0001448613,0.0006307947,0.0002323409,0.0001454008],"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":[0.000003623634,0.00006681508,0.00006171302,0.0002689459,0.0001502947,0.00003815396,0.0002184671,0.9516863,0.002315655,0.04311924,0.001389711,0.0006810667],"study_design_scores_gemma":[0.0001321261,0.00001956215,0.00005094898,0.0002240577,0.000223119,0.0001991736,0.00002951487,0.985083,0.0005062439,0.01123773,0.001990357,0.0003041731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001775865,0.001278999,0.9931713,0.0001877752,0.0003477188,0.0003898588,0.0001308836,0.0005527136,0.00376316],"genre_scores_gemma":[0.5508957,0.00008080246,0.4481773,0.00004048711,0.00006658737,0.00006064332,0.0002019069,0.00007966031,0.0003969056],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5507181,"threshold_uncertainty_score":0.9999852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251247563120762,"score_gpt":0.2468931053550138,"score_spread":0.2343806297238061,"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."}}