{"id":"W1999850970","doi":"10.1115/detc2005-84908","title":"Bridging Cross-Domain Terminology for Biomimetic Design","year":2005,"lang":"en","type":"article","venue":"","topic":"Design Education and Practice","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bridging (networking); Computer science; Terminology; Bridge (graph theory); Domain (mathematical analysis); Connotation; Artificial intelligence; Data science; Linguistics","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":[0.004017867,0.001029201,0.0007608468,0.005690956,0.001545941,0.004072315,0.00160315,0.002061766,0.0103807],"category_scores_gemma":[0.01335063,0.0005321372,0.001195115,0.005332764,0.003947245,0.007783304,0.005605125,0.002408707,0.0031228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001548623,"about_ca_system_score_gemma":0.00167809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008846148,"about_ca_topic_score_gemma":0.001084092,"domain_scores_codex":[0.9943647,0.002777977,0.00103509,0.0006935133,0.0009332184,0.0001955244],"domain_scores_gemma":[0.9917795,0.004440114,0.0008307235,0.00189467,0.000860357,0.0001946662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001832609,0.000115527,0.001483378,0.001413969,0.00003187777,0.0008888675,0.01116729,0.003693284,0.01635246,0.7647338,0.007284923,0.1926515],"study_design_scores_gemma":[0.00003800461,0.0001748744,0.00151912,0.001173844,0.00005739619,0.00292559,0.004506826,0.02181201,0.009769933,0.3540916,0.6038406,0.00009019654],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03072554,0.003936498,0.9237518,0.002388076,0.0008429504,0.0003804559,0.0005504799,0.0008821295,0.03654207],"genre_scores_gemma":[0.2036984,0.00243854,0.7810334,0.0009943824,0.0001870934,0.0007624573,0.001409675,0.000683445,0.008792597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0103807,"threshold_uncertainty_score":0.03472686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04107066719906815,"score_gpt":0.3167710352128141,"score_spread":0.2757003680137459,"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."}}