{"id":"W2799297076","doi":"10.1139/tcsme-2007-0024","title":"AN ALGORITHM FOR PLANAR FOUR-BAR MOTION GENERATION WITH OPTIMIZATION","year":2007,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crank; Planar; Bar (unit); Grashof number; Generator (circuit theory); Four-bar linkage; Algorithm; Motion (physics); Transmission (telecommunications); Set (abstract data type); Computer science; Topology (electrical circuits); Mathematics; Computer vision; Physics; Power (physics); Combinatorics; Computer graphics (images)","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":[0.0004294718,0.001050141,0.000623667,0.0007728136,0.0006978259,0.0009222659,0.001147931,0.0007875034,0.01510751],"category_scores_gemma":[0.000892321,0.0004800034,0.0005850797,0.0006540864,0.0004560165,0.0007145948,0.000966187,0.0008853029,0.00398359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006680965,"about_ca_system_score_gemma":0.0009511124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002040965,"about_ca_topic_score_gemma":0.002450258,"domain_scores_codex":[0.9997278,0.00003408214,0.00002004505,0.00006221746,0.0001237434,0.00003213005],"domain_scores_gemma":[0.9997885,0.0000849382,0.00001784862,0.00002225965,0.0000776981,0.000008765011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001344483,0.0001011597,0.0004800079,0.0003244287,0.00004055438,0.000153769,0.000187607,0.2537135,0.01710138,0.07456256,0.01478039,0.6384203],"study_design_scores_gemma":[0.00009506691,0.00007778332,0.0001583419,0.00004117487,0.0000205443,0.0001433856,0.00005050959,0.9270667,0.01134598,0.02541069,0.03555709,0.00003262128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001272022,0.00003905116,0.9936475,0.00004019196,0.00001499136,0.00006930891,0.00005445309,0.001267336,0.00359508],"genre_scores_gemma":[0.02382362,0.00005724599,0.9721292,0.00003089324,0.000006995238,0.0002234367,0.0001897727,0.0002953683,0.003243444],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01510751,"threshold_uncertainty_score":0.05053967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01183127881490424,"score_gpt":0.1930593800225256,"score_spread":0.1812281012076214,"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."}}