{"id":"W2057872446","doi":"10.1007/s12008-014-0235-2","title":"Using CAD parameter sensitivities for stack-up tolerance allocation","year":2014,"lang":"en","type":"article","venue":"International Journal on Interactive Design and Manufacturing (IJIDeM)","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"CAD; Component (thermodynamics); Process (computing); Function (biology); Tolerance analysis; Computer science; Reliability engineering; Stack (abstract data type); Product (mathematics); Engineering design process; Quality (philosophy); Engineering drawing; Industrial engineering; Engineering; Mathematics; Mechanical engineering","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":[0.0007864517,0.001552607,0.0007266201,0.001835465,0.0004458504,0.001322566,0.0005878978,0.001029782,0.004214551],"category_scores_gemma":[0.005189653,0.00107141,0.0006874445,0.001492108,0.0003786005,0.00147127,0.000912465,0.0009289406,0.0008063241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009672781,"about_ca_system_score_gemma":0.000877085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004435327,"about_ca_topic_score_gemma":0.005939788,"domain_scores_codex":[0.9993572,0.0001634943,0.00002914169,0.00007656316,0.0003087674,0.00006482821],"domain_scores_gemma":[0.9988348,0.0005688624,0.0001299186,0.0001940123,0.0002463013,0.00002609724],"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":[0.00005790508,0.00003800186,0.0006440525,0.00005007751,0.0000283407,0.00003946995,0.00003911681,0.9506615,0.008724887,0.001842319,0.0003931289,0.03748123],"study_design_scores_gemma":[0.000005467102,0.00001875251,0.0004203175,0.00001197091,0.00001310382,0.00001936645,0.00001223455,0.9902445,0.007236307,0.00123415,0.0007680708,0.00001569778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08214924,0.0003312782,0.8988102,0.0001698671,0.00008863025,0.00009103073,0.0003874344,0.002895834,0.01507643],"genre_scores_gemma":[0.8339859,0.0001863851,0.1631712,0.0000865501,0.0000176306,0.0000761861,0.0002699296,0.0004850615,0.001721218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004435327,"threshold_uncertainty_score":0.01409906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03052751931217702,"score_gpt":0.2770438115386559,"score_spread":0.2465162922264789,"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."}}