{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001317387,0.0003563468,0.0002772619,0.000241585,0.0003913258,0.0001960203,0.0001719855,0.0002139074,0.0005108254],"category_scores_gemma":[0.0002845213,0.0003670855,0.00008340207,0.0009759276,0.00006252818,0.0006822932,0.00001362704,0.0002950609,0.0004554072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002346867,"about_ca_system_score_gemma":0.0004282259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000569111,"about_ca_topic_score_gemma":0.000009639291,"domain_scores_codex":[0.9976428,0.0004357751,0.0005577281,0.0004285934,0.000321206,0.0006139125],"domain_scores_gemma":[0.9984114,0.0007551173,0.0001327272,0.0003538447,0.0001845681,0.0001624012],"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":[0.00004341168,0.00004813334,0.000007222915,0.00001634844,0.00004949315,0.0001473157,0.001546423,0.8111662,0.09944028,0.0002999597,0.08560803,0.001627206],"study_design_scores_gemma":[0.0007391517,0.00008529235,0.000005610062,0.00001753273,0.00004413242,0.000100132,0.0006862679,0.9152659,0.07713031,0.0005889031,0.004926122,0.0004106003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006879694,0.0001052578,0.9889777,0.0002276027,0.0008353887,0.0007310632,0.00004156643,0.001576764,0.0006249512],"genre_scores_gemma":[0.6942576,0.00001752027,0.3030206,0.0004677852,0.0002434929,0.0003363287,0.0003914787,0.0001217932,0.001143323],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6873779,"threshold_uncertainty_score":0.9998781,"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."}}