{"id":"W4238178774","doi":"10.32920/ryerson.14657178","title":"Development of modular and reconfigurable robot with multiple working modes","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Modular design; Wrench; Jacobian matrix and determinant; Process (computing); Engineering; Control engineering; Robot; Mode (computer interface); Kinematics; Compensation (psychology); Simulation; Control theory (sociology); Computer science; Control (management); Mechanical engineering; Artificial intelligence; Physics; Mathematics","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":[0.0001123288,0.0002447816,0.0003690857,0.0000696594,0.00003898447,0.00006968297,0.0001460474,0.000155717,0.00009508825],"category_scores_gemma":[0.000006492415,0.0002107444,0.00003636456,0.00006356804,0.00002442711,0.00004110042,0.00008383399,0.0002777767,0.000001593999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003999659,"about_ca_system_score_gemma":0.00006184995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006440862,"about_ca_topic_score_gemma":0.0003066772,"domain_scores_codex":[0.9989868,0.00001052332,0.0003280404,0.0003174099,0.0001559189,0.0002013479],"domain_scores_gemma":[0.9994765,0.00002258018,0.00004941627,0.0003253709,0.00006114497,0.00006501273],"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":[0.00000405371,0.00001346624,0.0004788251,0.0004135366,0.0001480314,0.0000069599,0.0008109979,0.9267131,0.01114179,0.00005970356,0.000006333697,0.06020317],"study_design_scores_gemma":[0.0001092146,0.000007284477,0.0005640353,0.0008567735,0.00002109687,0.000007416241,0.0004911766,0.6296023,0.3674639,0.00008324302,0.0003488867,0.0004446397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4184427,0.001322513,0.5739542,0.000005069786,0.0001114796,0.000165428,0.000001269926,0.0001051926,0.005892142],"genre_scores_gemma":[0.7624234,0.0002295438,0.237131,0.000004857885,0.00001451806,0.00002520367,0.00001721974,0.00003244398,0.0001218322],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3563221,"threshold_uncertainty_score":0.8593906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03306686273024526,"score_gpt":0.2113661070877091,"score_spread":0.1782992443574638,"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."}}