{"id":"W4237710281","doi":"10.32920/ryerson.14668383","title":"Kineto-elastic analysis of modular robot systems with component model updating","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Queen's University; Government of Ontario","keywords":"Payload (computing); Modular design; Component (thermodynamics); Stiffness; Computer science; Robot; Position (finance); Control theory (sociology); Artificial intelligence; Structural engineering; Engineering","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":[0.0005909641,0.0007333006,0.000625581,0.000661409,0.0003679188,0.0007216199,0.0007867496,0.0005097363,0.00226415],"category_scores_gemma":[0.001980357,0.0004507053,0.0007889877,0.0004214459,0.0007850373,0.0007844294,0.0009796899,0.0006201775,0.0003367742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006109809,"about_ca_system_score_gemma":0.0006467174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004516938,"about_ca_topic_score_gemma":0.003403719,"domain_scores_codex":[0.999661,0.00008416109,0.00001613049,0.00005884425,0.0001458301,0.00003410935],"domain_scores_gemma":[0.9994229,0.0002679143,0.0001350058,0.00006785404,0.00008935329,0.00001703668],"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":[0.00001136659,0.000005853721,0.0002144974,0.00003349425,0.00001120764,0.00002687627,0.00002459601,0.9821843,0.0009045979,0.009632641,0.0001187847,0.006831777],"study_design_scores_gemma":[0.000001155125,0.000007017662,0.00006529883,0.000002319604,0.00000240029,0.000006149032,0.000005943403,0.9968876,0.0001450658,0.002612316,0.0002624068,0.000002256307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02124398,0.0001343936,0.9727603,0.00005443591,0.00002114688,0.00003157758,0.00004516392,0.0001633874,0.005545605],"genre_scores_gemma":[0.892221,0.0004740395,0.0996599,0.00005671684,0.00003686896,0.0002022383,0.0001812367,0.0001274957,0.007040611],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004516938,"threshold_uncertainty_score":0.008981287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02157035365751063,"score_gpt":0.2223484274405381,"score_spread":0.2007780737830275,"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."}}