{"id":"W2799435507","doi":"10.1139/tcsme-2002-0009","title":"EFFECTS OF BALANCING ON DYNAMIC INSTABILITY OF FLEXIBLE FOUR-BAR MECHANISMS","year":2002,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Instability; Inertia; Bar (unit); Mechanism (biology); Control theory (sociology); Mechanics; Moment of inertia; Physics; Dynamic balance; Computer science; Classical mechanics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002096827,0.000165827,0.0003381855,0.00007061948,0.00008088568,0.000006686317,0.0002276779,0.0001570001,0.00003521547],"category_scores_gemma":[0.00005487297,0.0001571435,0.0005617614,0.0002582767,0.00002689439,0.00005944709,0.000003456895,0.0002616508,0.000001116929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003816603,"about_ca_system_score_gemma":0.00003135829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009943085,"about_ca_topic_score_gemma":0.001138683,"domain_scores_codex":[0.99903,0.00001855965,0.00034193,0.0001394573,0.0001753675,0.0002947194],"domain_scores_gemma":[0.9992241,0.0002518106,0.00005872315,0.0002844844,0.00006397713,0.0001169178],"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":[0.000006577885,0.00003575873,0.00000285624,0.001592694,0.0003939398,3.678885e-7,0.0008355246,0.7378036,0.2506686,0.006995447,0.00003218513,0.001632469],"study_design_scores_gemma":[0.0005750544,0.0001249059,0.0001187746,0.0002533802,0.00009237073,0.000002080951,0.00005429643,0.8725077,0.125808,0.0001522307,0.0001484512,0.0001627205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06756935,0.0002158808,0.9301549,0.00008889487,0.0008528009,0.0008095344,0.000102415,0.0001189481,0.00008724326],"genre_scores_gemma":[0.9949547,0.000005501104,0.004834886,0.00001213736,0.00001354401,0.0000614652,0.000001031168,0.00004468742,0.00007204714],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9273853,"threshold_uncertainty_score":0.6408126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006556678198201696,"score_gpt":0.1793443495694722,"score_spread":0.1727876713712705,"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."}}