{"id":"W1911202939","doi":"10.24908/pceea.v0i0.3087","title":"Supporting Creative Concept Generation by Engineering Students with Biomimetic Design","year":2010,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Design Education and Practice","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Engineering; Architectural engineering; Engineering management; Systems engineering; Computer science; Psychology; Mathematics education; Construction engineering; Engineering ethics; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.003890095,0.0009969358,0.0005786414,0.001026913,0.000830785,0.00405085,0.0024433,0.001448064,0.01165423],"category_scores_gemma":[0.02449655,0.0005400996,0.000615062,0.0005750865,0.001547652,0.003435326,0.00489863,0.002387207,0.002715663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006769226,"about_ca_system_score_gemma":0.002145912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002650622,"about_ca_topic_score_gemma":0.0005544078,"domain_scores_codex":[0.9977291,0.001096215,0.0001377661,0.0004209231,0.0004179636,0.0001980253],"domain_scores_gemma":[0.9871879,0.007959081,0.0008841943,0.001662822,0.001031882,0.001274254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006555503,0.01133751,0.02439306,0.001748063,0.00009144162,0.001286723,0.06201179,0.0175759,0.09368622,0.07052547,0.01440311,0.7022852],"study_design_scores_gemma":[0.00146351,0.004073006,0.01711831,0.0012325,0.0002934196,0.003746997,0.02643492,0.2000156,0.113566,0.3172894,0.3143154,0.0004508793],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5636761,0.0003520701,0.3891785,0.002487269,0.0001225113,0.001073934,0.000133447,0.001780704,0.04119545],"genre_scores_gemma":[0.6529942,0.00035971,0.3358433,0.0005455968,0.00003323597,0.0007586501,0.0001783594,0.00009906562,0.009187824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01165423,"threshold_uncertainty_score":0.03898728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006362764697468277,"score_gpt":0.2315757693298409,"score_spread":0.2252130046323726,"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."}}