{"id":"W2799767990","doi":"10.1139/tcsme-2017-1010","title":"A CAM-GEARED MECHANISM FOR RIGID BODY GUIDANCE","year":2017,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); Kinematics; Rigid body; Simple (philosophy); Computer science; Inverse; Mechanical engineering; Engineering; Control theory (sociology); Control engineering; Physics; Mathematics; Classical mechanics; Geometry; Artificial intelligence","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":[0.0002144197,0.0005590514,0.0002843127,0.0005871511,0.0003148486,0.0002869922,0.001056892,0.0008566517,0.003167402],"category_scores_gemma":[0.0003123635,0.0002001155,0.0003986223,0.0002783057,0.0002894596,0.0003974883,0.0003839017,0.000367009,0.0008296035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001364011,"about_ca_system_score_gemma":0.0003836486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002924532,"about_ca_topic_score_gemma":0.0003295609,"domain_scores_codex":[0.9998233,0.00002224652,0.00001092672,0.00003459332,0.00009450619,0.00001439832],"domain_scores_gemma":[0.9998518,0.00002037579,0.00002119046,0.00003437944,0.00005687873,0.00001538288],"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":[0.0002282695,0.00007499039,0.001109372,0.001030928,0.00005688094,0.0007968298,0.0001522589,0.02897148,0.5782272,0.05173068,0.003015274,0.3346059],"study_design_scores_gemma":[0.000459309,0.004264243,0.006250288,0.0003405202,0.0002265973,0.008463667,0.0001114485,0.5901818,0.1787839,0.01713308,0.193492,0.0002931232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03693299,0.001543845,0.9493126,0.00009785355,0.0004256381,0.0002300406,0.00009484074,0.0009627022,0.01039948],"genre_scores_gemma":[0.604413,0.0008694709,0.3855651,0.00007696998,0.0001018312,0.0002996437,0.0001385642,0.00003050646,0.008504933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003167402,"threshold_uncertainty_score":0.01059598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01962833691188503,"score_gpt":0.2484992862617693,"score_spread":0.2288709493498843,"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."}}