{"id":"W4248383896","doi":"10.2495/dne-v11-n4-553-562/007","title":"THE IMPACT AND MITIGATION OF COMPLEXITY DURING PRODUCT DESIGN","year":2017,"lang":"en","type":"book-chapter","venue":"WIT transactions on state-of-the-art in science and engineering","topic":"Design Education and Practice","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Product (mathematics); Product design; Computer science; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006265772,0.0001573918,0.0001814741,0.0001513558,0.0002584608,0.0000489547,0.0002777876,0.00004013888,0.000006751866],"category_scores_gemma":[0.00006668789,0.000104468,0.0000525168,0.0001315384,0.000485323,0.0002794547,0.000008461769,0.0002971737,7.832431e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007150869,"about_ca_system_score_gemma":0.0001138693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001799149,"about_ca_topic_score_gemma":0.00002133762,"domain_scores_codex":[0.9991065,0.0000133546,0.0002741236,0.0001596297,0.0002849802,0.0001614083],"domain_scores_gemma":[0.9991809,0.0001510357,0.00012424,0.0004001213,0.00009779116,0.00004592144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001012126,0.00006671136,0.0001696199,0.001092765,0.0001907952,0.000001661458,0.004998103,0.852634,0.07515343,0.002788777,0.0001325014,0.06267042],"study_design_scores_gemma":[0.002316544,0.000446459,0.1356561,0.006407604,0.0004210832,0.0003082072,0.0004608935,0.2874216,0.5255221,0.01365393,0.02480883,0.002576756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6541778,0.005984018,0.2692654,0.001873286,0.008423716,0.006570126,0.0003631779,0.0003579443,0.05298446],"genre_scores_gemma":[0.9966395,0.0004633934,0.0005163088,0.000001942358,0.0000108622,0.00001029054,3.178361e-7,0.00002006562,0.00233729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5652124,"threshold_uncertainty_score":0.4260083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03082920193811307,"score_gpt":0.2592710776736431,"score_spread":0.22844187573553,"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."}}