{"id":"W2174188839","doi":"10.48550/arxiv.0705.1217","title":"The Design of a Novel Prismatic Drive for a Three-DOF\\n Parallel-Kinematics Machine","year":2007,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Kinematics; Mechanism (biology); Rack; Machining; Ball screw; Mechanical engineering; Machine tool; Pinion; Transmission (telecommunications); Computer science; Parallel manipulator; Engineering; Ball (mathematics); Machine design; Physics; Mathematics; Electrical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002959943,0.0005416661,0.0003672557,0.0002173864,0.00035846,0.0004565715,0.001134204,0.000554923,0.002770173],"category_scores_gemma":[0.00030122,0.0003414378,0.0002528703,0.0001445457,0.0003191768,0.000580335,0.0004336763,0.0006051678,0.001190449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002668997,"about_ca_system_score_gemma":0.0008133813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003147934,"about_ca_topic_score_gemma":0.0005319891,"domain_scores_codex":[0.9996437,0.00002626124,0.00002022551,0.00008650814,0.000195113,0.00002815878],"domain_scores_gemma":[0.9997994,0.00002718834,0.00003976509,0.00002460167,0.00008210355,0.0000269233],"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":[0.0003028121,0.000270248,0.001347619,0.001213238,0.00006539737,0.0007220716,0.000260945,0.03514414,0.6244518,0.03157467,0.005070872,0.2995761],"study_design_scores_gemma":[0.0004946426,0.004374017,0.004255705,0.0001430583,0.000138557,0.004723638,0.0001346178,0.4276534,0.3124806,0.008013259,0.2374045,0.000183935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02307002,0.0002555921,0.9667268,0.0001649233,0.0001944149,0.0003048092,0.00009221632,0.000862276,0.008329037],"genre_scores_gemma":[0.2563349,0.0002834313,0.7323401,0.0001500417,0.00007767444,0.0003234411,0.0001658615,0.0001247401,0.01019983],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002770173,"threshold_uncertainty_score":0.009267211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1433553894092974,"score_gpt":0.2265604919078004,"score_spread":0.08320510249850294,"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."}}