{"id":"W4383103610","doi":"10.3390/designs7040086","title":"Supporting Multifunctional Bio-Inspired Design Concept Generation through Case-Based Expandable Domain Integrated Design (xDID) Model","year":2023,"lang":"en","type":"article","venue":"Designs","topic":"Design Education and Practice","field":"Engineering","cited_by":6,"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); Representation (politics); Process (computing); Integrated design; Feature (linguistics); Systems engineering; Artificial intelligence; Engineering; Mathematics; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001291912,0.0005600493,0.0002565298,0.0008580662,0.0004305836,0.001608446,0.001186439,0.0008705192,0.005211897],"category_scores_gemma":[0.001764019,0.0002991867,0.0007708491,0.0004770255,0.00123683,0.001225627,0.001466603,0.0007068672,0.0004929655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009281403,"about_ca_system_score_gemma":0.0009277725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0012675,"about_ca_topic_score_gemma":0.001248516,"domain_scores_codex":[0.9992909,0.0002439835,0.00004455576,0.0001053177,0.0002595483,0.00005561318],"domain_scores_gemma":[0.9993564,0.0003478005,0.00006433686,0.0001213952,0.00007332066,0.00003681001],"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":[0.000067803,0.0001652186,0.00123653,0.0003543507,0.00004194419,0.001036721,0.001682572,0.298223,0.01995871,0.569844,0.001792931,0.1055962],"study_design_scores_gemma":[0.0000504194,0.000137106,0.0003486325,0.0001359264,0.00005111185,0.0005919929,0.0003150637,0.8307216,0.00904321,0.1090967,0.04947667,0.00003150886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0170773,0.000118195,0.9635653,0.0002430886,0.00001999512,0.000201433,0.00006494625,0.0002342338,0.01847559],"genre_scores_gemma":[0.2698902,0.0002373374,0.7244772,0.00005223988,0.000008113753,0.000445394,0.0001545169,0.00004180861,0.004693289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005211897,"threshold_uncertainty_score":0.01743549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1528012071011163,"score_gpt":0.3306842717011938,"score_spread":0.1778830646000775,"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."}}