{"id":"W2056803429","doi":"10.1115/detc2004-57303","title":"Use of Biological Phenomena in Design by Analogy","year":2004,"lang":"en","type":"article","venue":"","topic":"Design Education and Practice","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Analogy; Computer science; Epistemology; Philosophy","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":[0.006112845,0.0006293941,0.0003091039,0.00111236,0.001163105,0.002878696,0.001194793,0.001405941,0.004008427],"category_scores_gemma":[0.02009198,0.0004244499,0.0004866305,0.0005874934,0.007306443,0.005247847,0.003028654,0.001132484,0.0003881397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001488418,"about_ca_system_score_gemma":0.0008881201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005703915,"about_ca_topic_score_gemma":0.000727015,"domain_scores_codex":[0.9893969,0.008187655,0.0002747593,0.0006930222,0.001252486,0.0001951102],"domain_scores_gemma":[0.9880145,0.00855534,0.0007489591,0.002036335,0.0004703714,0.0001743469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003111327,0.0002639537,0.004666995,0.001045789,0.00005625115,0.001032343,0.06238941,0.01125068,0.03927403,0.6493824,0.002429014,0.227898],"study_design_scores_gemma":[0.0002073891,0.001453735,0.005282773,0.0005696364,0.0001023912,0.003622623,0.01398278,0.02742822,0.03109027,0.6746262,0.2414824,0.0001516832],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2889161,0.002600126,0.5687704,0.004596577,0.0001662576,0.0003365066,0.00004147729,0.0005001774,0.1340724],"genre_scores_gemma":[0.8377666,0.0007070149,0.1562912,0.0003580012,0.00001951122,0.0002138377,0.00003056721,0.00006415236,0.00454909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006112845,"threshold_uncertainty_score":0.03232819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1152217703888417,"score_gpt":0.2788095644820872,"score_spread":0.1635877940932456,"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."}}