{"id":"W1524685953","doi":"10.1109/icma.2015.7237715","title":"Advances and Issues on Dynamic Balancing of Parallel Mechanisms","year":2015,"lang":"en","type":"article","venue":"","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Distributed computing","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":[0.001017077,0.0009153378,0.0006121426,0.001159288,0.0006751991,0.001272386,0.00151899,0.001206022,0.00449829],"category_scores_gemma":[0.001535163,0.0005033363,0.0008595584,0.0008741816,0.001119792,0.004599615,0.001244981,0.001289131,0.001229291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005438866,"about_ca_system_score_gemma":0.0006973931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003775427,"about_ca_topic_score_gemma":0.0002118621,"domain_scores_codex":[0.9990453,0.0001064269,0.00006924897,0.0002998475,0.0004063414,0.00007282341],"domain_scores_gemma":[0.9992695,0.0002292941,0.0001101408,0.0001540032,0.0002027126,0.0000342347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001296177,0.00008265897,0.0007271171,0.001722406,0.00006202838,0.000238567,0.0003920933,0.03866169,0.04770278,0.4228635,0.002739117,0.4846784],"study_design_scores_gemma":[0.00007826145,0.0008310226,0.001777611,0.0006529592,0.0002291362,0.002292606,0.0006351041,0.214911,0.04635955,0.3473331,0.3846498,0.0002498584],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0224621,0.06529464,0.8580878,0.00158828,0.000951843,0.00005959777,0.00005550987,0.0004901689,0.05101002],"genre_scores_gemma":[0.5200366,0.106276,0.3402514,0.0008965144,0.002492774,0.0002822385,0.0003787139,0.0002788439,0.02910677],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00449829,"threshold_uncertainty_score":0.01504833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008795160500722321,"score_gpt":0.2294886950144071,"score_spread":0.2206935345136848,"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."}}