{"id":"W1980155532","doi":"10.1504/ijmr.2008.017414","title":"Dynamic modelling of a 4-DOF parallel kinematic machine with revolute actuators","year":2008,"lang":"en","type":"article","venue":"International Journal of Manufacturing Research","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Revolute joint; Parallel manipulator; Kinematics; Actuator; Degrees of freedom (physics and chemistry); Rotation (mathematics); Translation (biology); Control theory (sociology); Inverse dynamics; Inverse kinematics; Torque; Computer science; Screw theory; Position (finance); Forward kinematics; Control engineering; Robot; Engineering; Artificial intelligence; Physics; Classical mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005875808,0.0001280148,0.0002555975,0.0005308679,0.00005216909,0.00002523959,0.0005598564,0.00005445591,0.00007019324],"category_scores_gemma":[0.00003852506,0.00009841943,0.00009322104,0.00008777424,0.00007228963,0.0001921666,0.00006175957,0.0005370924,0.000007258277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000176994,"about_ca_system_score_gemma":0.00006709134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000299781,"about_ca_topic_score_gemma":0.000007740279,"domain_scores_codex":[0.9978147,0.00003974269,0.0004987143,0.000102487,0.001301578,0.0002427987],"domain_scores_gemma":[0.9989977,0.0001821481,0.0001438381,0.0001631342,0.0004061131,0.0001070145],"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":[0.0001131964,0.00004304713,0.0001117025,0.00006880569,0.0002061683,0.0002541111,0.0002717365,0.9970399,0.0001351904,0.000385893,0.00006644845,0.001303794],"study_design_scores_gemma":[0.0009498712,0.0001858151,0.00102807,0.0004101395,0.00001505639,0.0009893653,0.00008706636,0.9883496,0.001962179,0.005795132,0.00007371184,0.0001540602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.355657,0.0001367963,0.6435216,0.0001032212,0.0001742345,0.00006628921,0.000004248833,0.00001432182,0.0003222419],"genre_scores_gemma":[0.7916058,0.0005795144,0.2075861,0.000004403736,0.00005462963,0.00000198507,0.000002659955,0.00002678556,0.0001381974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4359487,"threshold_uncertainty_score":0.4013428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04831013404854814,"score_gpt":0.2888157613285296,"score_spread":0.2405056272799815,"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."}}