{"id":"W4256626186","doi":"10.1115/detc2014-35296","title":"Effects of Abstraction on Selecting Relevant Biological Phenomena for Biomimetic Design","year":2014,"lang":"en","type":"article","venue":"","topic":"Design Education and Practice","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Abstraction; Computer science; Analogy; Exploit; Relevance (law); Human–computer interaction; Artificial intelligence; Natural (archaeology); Epistemology","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":[0.01656166,0.001921201,0.000901345,0.001225489,0.0009615541,0.003004153,0.001533994,0.001741667,0.003559934],"category_scores_gemma":[0.1933987,0.0009872721,0.001021778,0.0008099357,0.001911491,0.003741556,0.003307824,0.002084004,0.0003768742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001234095,"about_ca_system_score_gemma":0.0009955619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009797077,"about_ca_topic_score_gemma":0.001444717,"domain_scores_codex":[0.9785836,0.01332183,0.002663032,0.001450563,0.003020518,0.0009604914],"domain_scores_gemma":[0.532988,0.4211001,0.01958652,0.0172232,0.006329418,0.002772884],"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":[0.0309961,0.009969411,0.135592,0.01017017,0.001225512,0.001963357,0.03918116,0.08440582,0.2309786,0.008267107,0.002336283,0.4449145],"study_design_scores_gemma":[0.008712891,0.05407895,0.3648597,0.003325543,0.005844311,0.003344873,0.03351922,0.2192979,0.2099201,0.05984244,0.03544191,0.001812168],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728137,0.000340396,0.02171816,0.0002865457,0.00004030752,0.0005384124,0.00008290909,0.0004925235,0.003687056],"genre_scores_gemma":[0.9474202,0.0001852533,0.05095107,0.00023003,0.00001519086,0.0004453734,0.0001055584,0.00008407126,0.0005631892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01656166,"threshold_uncertainty_score":0.08758748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02981173414467934,"score_gpt":0.2612871038907638,"score_spread":0.2314753697460845,"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."}}