{"id":"W2958522796","doi":"10.3390/biomimetics4030049","title":"BiomiMETRIC Assistance Tool: A Quantitative Performance Tool for Biomimetic Design","year":2019,"lang":"en","type":"article","venue":"Biomimetics","topic":"Design Education and Practice","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; GDG Environnement; École de Technologie Supérieure","funders":"","keywords":"Biomimetics; Engineering; Biomimetic materials; Systems engineering; Computer science; Artificial intelligence; Nanotechnology; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007848558,0.0002742973,0.0002963924,0.0004250784,0.00008715324,0.0001272919,0.0002885755,0.0001454737,0.0002041959],"category_scores_gemma":[0.0003317101,0.0002774259,0.0001066755,0.001161679,0.00004874211,0.000447446,0.00002118703,0.0001337596,0.001334798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001339617,"about_ca_system_score_gemma":0.0001001199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002459363,"about_ca_topic_score_gemma":2.875009e-7,"domain_scores_codex":[0.9985352,0.00007832087,0.0004117821,0.0003179581,0.0002223189,0.0004343887],"domain_scores_gemma":[0.9979947,0.00119049,0.0001081652,0.0004610168,0.0001643955,0.00008124823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002031034,0.001192312,0.009930282,0.003730173,0.00159708,0.000009838826,0.001828721,0.01982455,0.5872363,0.05196209,0.1237963,0.1968613],"study_design_scores_gemma":[0.003196974,0.001168882,0.01350631,0.0001235612,0.0002718,0.00002372431,0.0002735109,0.3906949,0.1877238,0.0006831632,0.4005733,0.001760119],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5159803,0.001331337,0.4750097,0.0001952089,0.003206627,0.001689259,0.00005267855,0.0005027627,0.002032093],"genre_scores_gemma":[0.8396608,0.0002378585,0.1578557,0.000157856,0.00008401507,0.0001116002,0.00002242567,0.00008396419,0.001785858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3995125,"threshold_uncertainty_score":0.9999678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04532814776896903,"score_gpt":0.2813671700140786,"score_spread":0.2360390222451095,"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."}}