{"id":"W2735574507","doi":"10.1177/0954406217718858","title":"A semantic model for axiomatic systems design","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"China Academy of Space Technology","keywords":"Axiomatic design; Computer science; Axiom; Ontology; Theoretical computer science; Artificial intelligence; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003321109,0.0001818135,0.0004093584,0.0003141746,0.0003124971,0.0002153975,0.001589481,0.00007698705,0.000001876112],"category_scores_gemma":[0.005702346,0.0001328447,0.0001686297,0.0004441846,0.0001463753,0.001987055,0.0002339284,0.0001848606,0.000001261191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008137864,"about_ca_system_score_gemma":0.0001697031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003315462,"about_ca_topic_score_gemma":1.219537e-7,"domain_scores_codex":[0.9978823,0.000001777192,0.0007936743,0.0002058159,0.0008192211,0.0002971835],"domain_scores_gemma":[0.9972523,0.00004431399,0.001262052,0.0002027745,0.001192905,0.00004565889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000738141,0.00006646344,0.000009161054,0.0006747585,0.00003911377,4.925743e-7,0.00003193106,0.3692431,0.1494865,0.4799636,0.0001905923,0.0002204953],"study_design_scores_gemma":[0.0005710041,0.0000345089,0.00002841535,0.0007124811,0.00009450749,0.00001528487,0.00002891476,0.9454674,0.04923056,0.003534174,0.0001321054,0.0001506733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09064496,0.00005360217,0.9053821,0.0006681977,0.002530896,0.00057724,0.000001690486,0.00004247525,0.00009887314],"genre_scores_gemma":[0.9846449,0.000010285,0.01498276,0.00002476683,0.0002864706,0.00001237323,2.112039e-7,0.0000156106,0.00002264522],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8939999,"threshold_uncertainty_score":0.6826653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02951795193074981,"score_gpt":0.2274378297539191,"score_spread":0.1979198778231693,"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."}}