{"id":"W4381185439","doi":"10.1017/pds.2023.5","title":"A CASE STUDY OF MULTIFUNCTIONAL NON-PNEUMATIC TIRE DESIGN FOR THE VALIDATION OF META-LEVEL DESIGN PARAMETER IN DOMAIN INTEGRATED DESIGN (DID) METHOD","year":2023,"lang":"en","type":"article","venue":"Proceedings of the Design Society","topic":"Design Education and Practice","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Computer science; Domain (mathematical analysis); Software; Work (physics); Design methods; Design of experiments; Engineering; Mathematics; Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01003211,0.0003381285,0.0006339165,0.0001625453,0.000180882,0.00005712196,0.0005238777,0.0001695282,0.00002931369],"category_scores_gemma":[0.00139366,0.0002212873,0.000390425,0.001665494,0.00009265196,0.0003861691,0.00005468068,0.0003345424,0.000003294135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001204185,"about_ca_system_score_gemma":0.000149293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008346066,"about_ca_topic_score_gemma":0.000001256361,"domain_scores_codex":[0.9975608,0.0004035569,0.0009170437,0.0003233954,0.0004663324,0.0003288476],"domain_scores_gemma":[0.989218,0.00933026,0.0005413906,0.0002635469,0.0005916056,0.00005520706],"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":[0.0007247647,0.001131764,0.0002249355,0.001056385,0.005486945,0.000004199027,0.08342473,0.7133764,0.1551793,0.0001340258,0.03377653,0.005480022],"study_design_scores_gemma":[0.00153003,0.0003892952,0.0002305186,0.00007537656,0.001595401,0.00007389489,0.03390471,0.821169,0.1390017,0.001707903,0.00003115034,0.0002909779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07433581,0.00007015102,0.9210144,0.0001294045,0.0002159578,0.004120134,0.00001360715,0.00008796683,0.00001255218],"genre_scores_gemma":[0.6151736,0.00002421933,0.383556,0.00002777025,0.00001956559,0.001055002,0.000001878033,0.00005502332,0.00008691071],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5408378,"threshold_uncertainty_score":0.9023836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2286495054415698,"score_gpt":0.343674742404077,"score_spread":0.1150252369625072,"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."}}