{"id":"W1849975500","doi":"10.1115/1.4030816","title":"Path Following and Shape Morphing With a Continuous Slender Mechanism","year":2015,"lang":"en","type":"article","venue":"Journal of Dynamic Systems Measurement and Control","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Morphing; Kinematics; Mechanism (biology); Control theory (sociology); Galerkin method; Rigid body; Degrees of freedom (physics and chemistry); Tracking (education); Coupling (piping); Computer science; Projection (relational algebra); Classical mechanics; Physics; Engineering; Control (management); Artificial intelligence; Finite element method; Mechanical engineering; Algorithm; Structural engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0007650006,0.0001197805,0.0002959292,0.00006485254,0.00004348438,0.00008727133,0.00005924093,0.00003996977,4.871647e-7],"category_scores_gemma":[0.00002132955,0.00008858421,0.00003987879,0.00004705057,0.000008936983,0.0001033183,0.000005776085,0.0001094419,5.461505e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008129221,"about_ca_system_score_gemma":0.00003207813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007840471,"about_ca_topic_score_gemma":0.000003416767,"domain_scores_codex":[0.9990652,0.00002420599,0.0002950008,0.00007866072,0.000398811,0.0001381045],"domain_scores_gemma":[0.9994566,0.00002278108,0.0001214342,0.00007508895,0.0001812687,0.0001428642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001101897,0.0008441157,0.1190737,0.002756974,0.01932829,0.001329565,0.01398411,0.1721234,0.5480011,0.02838533,0.002513447,0.09055807],"study_design_scores_gemma":[0.008461234,0.0004124823,0.003040445,0.0009385552,0.0005622719,0.0005457688,0.002623218,0.9820088,0.00005351737,0.0006204391,0.0003396413,0.0003936317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6300335,0.01198917,0.3566276,0.0001633566,0.0005570103,0.0003683621,0.000002905693,0.00005058397,0.0002075736],"genre_scores_gemma":[0.9993542,0.00003964706,0.0004717135,0.00001629537,0.00007716435,0.00001150837,2.329603e-7,0.00001917143,0.00001010809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8098854,"threshold_uncertainty_score":0.3612359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468195513636811,"score_gpt":0.1883902796609108,"score_spread":0.1737083245245427,"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."}}