{"id":"W4283317069","doi":"10.1088/1742-6596/2281/1/012011","title":"Extending the Force Balancing Method of Adjusting Kinematic Parameter to Spatial Mechanisms","year":2022,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Counterweight; Kinematics; Mechanism (biology); Inertia; Computer science; Actuator; Control theory (sociology); Robot; Planar; Force field (fiction); MATLAB; Simulation; Centripetal force; Variable (mathematics); Control engineering; Engineering; Mechanical engineering; Artificial intelligence; Mathematics; 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":[0.0005864546,0.0001336352,0.0003394221,0.00005996945,0.0001317079,0.00004697686,0.0003156654,0.00002111604,0.00007814822],"category_scores_gemma":[0.0001019515,0.0001023793,0.0001124788,0.0001856159,0.000014657,0.0001969726,0.0001199324,0.0003040476,8.26965e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004980904,"about_ca_system_score_gemma":0.00005206687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001160163,"about_ca_topic_score_gemma":0.000005033382,"domain_scores_codex":[0.9988204,0.00007717199,0.0004568634,0.00008000234,0.0003748211,0.0001907014],"domain_scores_gemma":[0.9991586,0.0002049305,0.0002699161,0.000168836,0.0001395126,0.0000581904],"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":[0.0000174009,0.00001175887,0.000005488005,0.00008427336,0.00005288756,0.000006332963,0.001444617,0.7479011,0.07675242,0.1254186,0.00001780537,0.04828727],"study_design_scores_gemma":[0.0002854003,0.0005256623,0.0001075963,0.0001896132,0.0001255858,0.0001825909,0.005254717,0.6849739,0.09029853,0.2177517,0.00003646731,0.0002682233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00791023,0.00002259158,0.9910451,0.0001068215,0.0006000695,0.000106714,0.000007244089,0.0000177954,0.0001834218],"genre_scores_gemma":[0.6772887,0.00000774532,0.3225152,0.00003844724,0.00008665551,0.000007102782,8.792179e-7,0.00001884152,0.0000363694],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6693785,"threshold_uncertainty_score":0.4174906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711952627801526,"score_gpt":0.2428677090026146,"score_spread":0.2257481827245993,"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."}}