{"id":"W4390025222","doi":"10.1162/dint_a_00240","title":"BIKAS: Bio-Inspired Knowledge Acquisition and Simulacrum—A Knowledge Database to Support Multifunctional Design Concept Generation","year":2023,"lang":"en","type":"article","venue":"Data Intelligence","topic":"Design Education and Practice","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Simulacrum; Computer science; Knowledge acquisition; Knowledge management; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007918277,0.0001922468,0.0001389144,0.0002457061,0.000148409,0.0001352672,0.0003937603,0.00007711719,0.000670239],"category_scores_gemma":[0.0003494569,0.0002094464,0.00001722395,0.0007623706,0.00004825576,0.0009595189,0.0002037131,0.0001407047,0.005074508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006204692,"about_ca_system_score_gemma":0.00009950766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001465293,"about_ca_topic_score_gemma":0.00002893878,"domain_scores_codex":[0.9986792,0.0001135252,0.0003122772,0.0004767966,0.0001466207,0.0002715675],"domain_scores_gemma":[0.9984293,0.0004761004,0.00003617004,0.0007370008,0.0001247289,0.0001966898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004596557,0.0001657273,0.00008901494,0.0001052193,0.00007011827,0.0000123691,0.003451882,0.03906659,0.03409231,0.001032961,0.676435,0.2454328],"study_design_scores_gemma":[0.000108069,0.00007699613,0.0002681648,0.00002961492,0.0000299167,0.00001202073,0.0003567434,0.7340699,0.02203241,0.00003667229,0.2426665,0.0003129389],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004702853,0.0006878944,0.9886681,0.0002387371,0.002476477,0.0005494689,0.001118079,0.0006619183,0.0008964891],"genre_scores_gemma":[0.9663575,0.0006595974,0.0162229,0.0003714528,0.001026551,0.0001110527,0.01369883,0.00007553224,0.001476563],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9724452,"threshold_uncertainty_score":0.9957002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2012791044468487,"score_gpt":0.3756119567879984,"score_spread":0.1743328523411497,"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."}}