{"id":"W2088907512","doi":"10.1109/iccse.2014.6926444","title":"Formulation of a state-space model for a parallel manipulator using linear graphs","year":2014,"lang":"en","type":"article","venue":"","topic":"Modeling and Simulation Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Representation (politics); State-space representation; State space; Computer science; Domain (mathematical analysis); State (computer science); Flow (mathematics); Energy flow; Space (punctuation); Electric power system; System dynamics; Topology (electrical circuits); Energy (signal processing); Control theory (sociology); Theoretical computer science; Algorithm; Power (physics); Mathematics; Artificial intelligence; Physics; Geometry; Mathematical analysis","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":[0.0003911535,0.0008321279,0.0006654388,0.0005731056,0.0004426413,0.001327194,0.00119548,0.001217253,0.005514258],"category_scores_gemma":[0.0004677077,0.0003206949,0.0008629485,0.0005885695,0.0008366933,0.001471535,0.0008909383,0.001327785,0.001258319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007428607,"about_ca_system_score_gemma":0.0009683463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006267838,"about_ca_topic_score_gemma":0.005624249,"domain_scores_codex":[0.9997742,0.00005338131,0.00001652914,0.00005915302,0.00007375203,0.00002296145],"domain_scores_gemma":[0.999811,0.00007224369,0.00003824599,0.00002247245,0.00004585025,0.00001011569],"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":[0.00002075198,0.00002065007,0.0001416518,0.00006819332,0.00001473375,0.0001040348,0.00006784653,0.9033442,0.002195831,0.08279277,0.0007270898,0.01050217],"study_design_scores_gemma":[0.000006463545,0.00002181211,0.00003705401,0.000007410809,0.000006879423,0.00001274767,0.00001163013,0.9808627,0.0004384286,0.01675484,0.00183318,0.000006773827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002663705,0.00005880754,0.9918378,0.0001531088,0.00002092559,0.00003519958,0.0001422819,0.0003267305,0.004761518],"genre_scores_gemma":[0.6472583,0.0008609541,0.3254938,0.0002649229,0.0001380992,0.001114593,0.001020972,0.0002080042,0.02364024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006267838,"threshold_uncertainty_score":0.01844704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08327067069968942,"score_gpt":0.3040243055390168,"score_spread":0.2207536348393274,"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."}}