{"id":"W2991297792","doi":"10.1115/detc2019-98146","title":"A Cable-Driven Parallel Robot With an Embedded Tilt-Roll Wrist","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Workspace; Tilt (camera); Parallel manipulator; Mechanism (biology); Wrist; Computer science; Robot; Rotation (mathematics); Inertia; Translation (biology); Simulation; Engineering; Computer vision; Artificial intelligence; Mechanical engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000163633,0.0004275265,0.0002397927,0.000206668,0.0001666002,0.0002600485,0.0004727631,0.0002443364,0.001228204],"category_scores_gemma":[0.0002290341,0.0002122756,0.0001960002,0.0001847819,0.0002481345,0.0002103956,0.0002991043,0.000169209,0.0003685547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002139371,"about_ca_system_score_gemma":0.0003589154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004406968,"about_ca_topic_score_gemma":0.0004619188,"domain_scores_codex":[0.9998525,0.00002366673,0.000004878194,0.00004403987,0.00006053224,0.00001435476],"domain_scores_gemma":[0.9998469,0.00002061318,0.00005971371,0.00001861191,0.00003418725,0.00001984961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000464364,0.00008427213,0.001787926,0.0004025876,0.00005310012,0.0005769384,0.000105369,0.3377835,0.5828061,0.006011156,0.0006785998,0.06924609],"study_design_scores_gemma":[0.0001884513,0.002708749,0.00532515,0.00005909042,0.00008544541,0.001033116,0.00007055989,0.8488841,0.1299415,0.002854425,0.00878372,0.00006580487],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2665477,0.0003077875,0.7247584,0.00005689376,0.00002760601,0.00007686809,0.0000767629,0.0005228748,0.007625096],"genre_scores_gemma":[0.9049292,0.0001347529,0.09166624,0.00001353709,0.0000109032,0.00006736235,0.00005532206,0.00002640127,0.003096215],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001228204,"threshold_uncertainty_score":0.004108787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373866623635014,"score_gpt":0.2176208098282799,"score_spread":0.2038821435919297,"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."}}