{"id":"W2076754289","doi":"10.1115/detc2013-12068","title":"Teaching Biomimicry With an Engineering-to-Biology Thesaurus","year":2013,"lang":"en","type":"article","venue":"","topic":"Design Education and Practice","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Thesaurus; Terminology; Computer science; Biomimetics; Biological engineering; Task (project management); Ingenuity; Human–computer interaction; Artificial intelligence; Engineering; Systems engineering; Bioinformatics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003102341,0.001263638,0.0006226458,0.002228424,0.001242252,0.003888497,0.002355723,0.001684299,0.01606176],"category_scores_gemma":[0.01737873,0.0006940915,0.0009756873,0.001155042,0.002062225,0.007911396,0.005138394,0.0021481,0.004018449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001451849,"about_ca_system_score_gemma":0.003014803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009870835,"about_ca_topic_score_gemma":0.002375859,"domain_scores_codex":[0.9977647,0.001151224,0.000197674,0.000384232,0.0004273613,0.00007476732],"domain_scores_gemma":[0.9918699,0.005283287,0.0005105165,0.001141838,0.0007619917,0.0004324369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002586865,0.004458396,0.00692717,0.004388153,0.00007219505,0.001139134,0.04383737,0.008889972,0.05169373,0.1352791,0.02402157,0.7190346],"study_design_scores_gemma":[0.0003292798,0.00152106,0.007458396,0.003021764,0.0001667439,0.00390206,0.01618375,0.04056131,0.04458623,0.1086949,0.7732921,0.0002823808],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1461638,0.00177698,0.7238169,0.003560018,0.000622522,0.001793546,0.0002955938,0.00252201,0.1194488],"genre_scores_gemma":[0.1844353,0.00200086,0.7829707,0.001106849,0.00008584843,0.001285904,0.0006556163,0.0004144431,0.02704451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01606176,"threshold_uncertainty_score":0.05373192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009471301506747546,"score_gpt":0.236078881502722,"score_spread":0.2266075799959744,"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."}}