{"id":"W1989455285","doi":"10.1016/j.cirp.2011.06.001","title":"Biologically inspired design","year":2011,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Design Education and Practice","field":"Engineering","cited_by":225,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Biomimetics; Computer science; Engineering; Management science; Artificial intelligence","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":[0.0002742224,0.0004645581,0.0003715003,0.0004995479,0.0005680156,0.001087916,0.0005977807,0.001149807,0.009847648],"category_scores_gemma":[0.0007472521,0.0002838799,0.0005879256,0.0003085789,0.001170194,0.0006459268,0.0009810457,0.0008584539,0.001621479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008085342,"about_ca_system_score_gemma":0.0005931428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006524958,"about_ca_topic_score_gemma":0.0008072663,"domain_scores_codex":[0.9998234,0.00004695579,0.00000737614,0.00004117299,0.00006817402,0.00001296935],"domain_scores_gemma":[0.9998272,0.00006545841,0.00001403953,0.00004684665,0.00002949699,0.00001704559],"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":[0.0000497025,0.00008252899,0.0008978866,0.0003411017,0.00007646132,0.0001971015,0.0003040263,0.2089772,0.03762221,0.585532,0.00752214,0.1583976],"study_design_scores_gemma":[0.00006383874,0.0002274122,0.001066941,0.0001475505,0.00005200248,0.0004902314,0.0001344074,0.4635137,0.01150139,0.3616693,0.1610668,0.00006646513],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02734035,0.002126203,0.8002611,0.001627102,0.0007808259,0.0001416898,0.00014622,0.0005878151,0.1669886],"genre_scores_gemma":[0.5536599,0.002544876,0.3336624,0.000771593,0.0001887844,0.0004722594,0.0003082464,0.0002500969,0.1081419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009847648,"threshold_uncertainty_score":0.03294367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3130017630748836,"score_gpt":0.3018537474108184,"score_spread":0.0111480156640652,"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."}}