{"id":"W2794933426","doi":"10.3390/s18041029","title":"A Novel Model to Simulate Flexural Complements in Compliant Sensor Systems","year":2018,"lang":"en","type":"article","venue":"Sensors","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Spline (mechanical); Torsion (gastropod); Nonlinear system; Revolute joint; Kinematics; Flexural strength; Rigid body; Structural engineering; Computer science; Engineering; Control theory (sociology); Mechanical engineering; Classical mechanics; Control (management); Physics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002694188,0.0004057631,0.000415549,0.0003984436,0.0002603567,0.0004808197,0.000954121,0.001129226,0.001928278],"category_scores_gemma":[0.0006074703,0.0002765041,0.0007379548,0.0004015742,0.0005233926,0.0008687861,0.0005480588,0.0006763751,0.0004366962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002198205,"about_ca_system_score_gemma":0.00065267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001622937,"about_ca_topic_score_gemma":0.00109261,"domain_scores_codex":[0.9998016,0.00004336667,0.000008945148,0.00003114482,0.00009716485,0.00001780151],"domain_scores_gemma":[0.9998441,0.00005620524,0.00002218196,0.00002944707,0.00003626506,0.00001190198],"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":[0.00002695216,0.00002608857,0.000360097,0.00005293842,0.00001225104,0.000127587,0.00006386031,0.938891,0.01183749,0.03459271,0.0003574385,0.01365151],"study_design_scores_gemma":[0.000003588209,0.00001973082,0.00006465157,0.000003205475,0.000002498227,0.00003162133,0.000004911384,0.9954325,0.0006943338,0.002477475,0.001260755,0.000004713401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01455028,0.0001208565,0.9802989,0.00008576026,0.00004298066,0.00002456098,0.00006619705,0.0002157728,0.00459473],"genre_scores_gemma":[0.7668505,0.0006118697,0.219479,0.0001079618,0.00005758515,0.0002870705,0.0002471838,0.0001303054,0.0122286],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001928278,"threshold_uncertainty_score":0.006450713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03174874769474604,"score_gpt":0.2591759077495325,"score_spread":0.2274271600547864,"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."}}