{"id":"W2557400041","doi":"10.1139/tcsme-2013-0012","title":"OPTIMUM SYNTHESIS OF PATH GENERATING ADJUSTABLE MECHANISMS WITH IMPROVED SLOPE CONTINUITY OF THE CONTROL PARAMETER","year":2013,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Path (computing); Control theory (sociology); Function (biology); Differential (mechanical device); Bar (unit); Control (management); Computer science; Mathematics; Engineering; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004224227,0.0006261572,0.0004070063,0.0006458921,0.0001856706,0.0004060775,0.0007130682,0.0005065126,0.001359272],"category_scores_gemma":[0.0008513039,0.0002829865,0.0004856217,0.000446139,0.0003592291,0.0005054228,0.0003769008,0.0004283989,0.0002105815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002187708,"about_ca_system_score_gemma":0.0003596907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001180318,"about_ca_topic_score_gemma":0.0002196577,"domain_scores_codex":[0.9998173,0.00002791227,0.00001528951,0.00005163628,0.00006811875,0.00001978635],"domain_scores_gemma":[0.9995964,0.0001220807,0.0001486355,0.00006173221,0.00005440362,0.00001672734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002445603,0.0001228791,0.0009598919,0.0007532399,0.00009933095,0.0002455957,0.0001656172,0.1770286,0.5191917,0.05460505,0.0004379971,0.2461455],"study_design_scores_gemma":[0.0001931564,0.001295672,0.002023095,0.00007542042,0.0001579029,0.000857816,0.00005179172,0.731941,0.236338,0.01157984,0.01537529,0.0001109163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1113467,0.0005815873,0.883674,0.00003637938,0.00004805885,0.00007116979,0.00003788959,0.000265356,0.003938861],"genre_scores_gemma":[0.5773951,0.0003024751,0.4205143,0.00001475233,0.00001371606,0.0001126913,0.00006241122,0.00004672,0.00153785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001359272,"threshold_uncertainty_score":0.004547238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004548536807714581,"score_gpt":0.1583978926454128,"score_spread":0.1538493558376982,"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."}}