{"id":"W2068878448","doi":"10.1115/detc2008-49440","title":"Time Optimal CAM Synthesis for Spring Driven CAMS","year":2008,"lang":"en","type":"article","venue":"","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Jerk; Crank; Spring (device); Motion (physics); Rotation (mathematics); Control theory (sociology); Computer science; Pressure angle; Constant (computer programming); Trajectory; Radius of curvature; Energy (signal processing); Linear motion; Curvature; Mechanical engineering; Acceleration; Engineering; Mathematics; Physics; Classical mechanics; Artificial intelligence; Geometry; Mean curvature","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002299647,0.0004810677,0.0004090006,0.0003494554,0.0002899366,0.000434387,0.0004385564,0.000528191,0.002165932],"category_scores_gemma":[0.0008360517,0.0002616474,0.0004338091,0.0002097737,0.0003408065,0.0003404581,0.0003536034,0.0004773579,0.0003650331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000434471,"about_ca_system_score_gemma":0.0005377736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001240378,"about_ca_topic_score_gemma":0.003132694,"domain_scores_codex":[0.9997841,0.00002261783,0.00000981268,0.0000343958,0.000129317,0.00001989118],"domain_scores_gemma":[0.9997789,0.0000854204,0.00003426287,0.00002051506,0.00006780821,0.00001315699],"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":[0.0001713833,0.00007113059,0.0006116308,0.0003247715,0.00002456459,0.0002908888,0.0002104032,0.6109812,0.1804545,0.05302233,0.001911812,0.1519253],"study_design_scores_gemma":[0.00002406422,0.0001021318,0.0001633381,0.00001959903,0.000008241053,0.00005241893,0.00002463092,0.9679626,0.02019754,0.005789136,0.005646673,0.000009761112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03606857,0.0002300199,0.9554748,0.00005819726,0.00005734879,0.0000657674,0.00005311798,0.0004288286,0.007563409],"genre_scores_gemma":[0.6140611,0.0002655032,0.3802499,0.00004228973,0.00003441207,0.0001322494,0.0001406173,0.0001436853,0.004930335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002165932,"threshold_uncertainty_score":0.007245779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02021229723148028,"score_gpt":0.2279480976514297,"score_spread":0.2077358004199494,"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."}}