{"id":"W2315264522","doi":"10.1016/j.mechmachtheory.2016.03.012","title":"Continuous approximate synthesis of planar function-generators minimising the design error","year":2016,"lang":"en","type":"article","venue":"Mechanism and Machine Theory","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Norm (philosophy); Cardinality (data modeling); Mathematics; Euclidean geometry; Nonlinear system; Euclidean distance; Mathematical optimization; Applied mathematics; Computer science; Geometry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006617958,0.0005745131,0.0007362272,0.0003676959,0.0001797896,0.0007817839,0.0006127234,0.0008313638,0.001986549],"category_scores_gemma":[0.00167784,0.0003253238,0.0004630745,0.0004485289,0.0007132595,0.0005403228,0.0006268385,0.0004971569,0.0003512087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004357377,"about_ca_system_score_gemma":0.0005784952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005860237,"about_ca_topic_score_gemma":0.000832405,"domain_scores_codex":[0.9997404,0.00006314405,0.00001067391,0.00005014895,0.00011031,0.00002514832],"domain_scores_gemma":[0.9995744,0.0002452836,0.00006084096,0.00004953029,0.00005767595,0.00001224176],"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":[0.00006582608,0.00001976827,0.0001406548,0.0001298061,0.0000242834,0.00002969777,0.00004916829,0.903056,0.008657084,0.02710862,0.0002932468,0.06042586],"study_design_scores_gemma":[0.0000129583,0.00007868578,0.00007190755,0.00001158233,0.000009350545,0.00002308282,0.000011551,0.9878676,0.002779465,0.008203952,0.0009236472,0.000006201943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01293246,0.0001003014,0.9841499,0.00003222891,0.00001028537,0.00001730266,0.00001680908,0.00009208432,0.002648751],"genre_scores_gemma":[0.7738824,0.0001942038,0.2222333,0.00003381234,0.00001931347,0.0001082633,0.00007596294,0.0000635012,0.003389345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001986549,"threshold_uncertainty_score":0.006645739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05543045156492336,"score_gpt":0.2630691293203031,"score_spread":0.2076386777553798,"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."}}