{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002221066,0.0007036827,0.0007187353,0.002897288,0.0005925224,0.003816247,0.002171931,0.0009714493,0.006926544],"category_scores_gemma":[0.007029906,0.0004890101,0.0009723456,0.001604926,0.0008556296,0.004068852,0.002990746,0.001117583,0.002078464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001035889,"about_ca_system_score_gemma":0.001599659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002604136,"about_ca_topic_score_gemma":0.003378929,"domain_scores_codex":[0.9988223,0.0002768363,0.000182032,0.0002477745,0.0004195174,0.00005156964],"domain_scores_gemma":[0.9975889,0.001013044,0.0001959471,0.000720721,0.0003676013,0.0001138509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005330731,0.0004589229,0.003381636,0.001497553,0.0001797869,0.00095449,0.002036012,0.05232885,0.01688967,0.3116199,0.02512064,0.5849995],"study_design_scores_gemma":[0.0001821052,0.0002553098,0.001294769,0.0007873495,0.0001970032,0.001086483,0.0009270156,0.4387051,0.03341377,0.1584178,0.3646086,0.0001247996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01549733,0.0007237422,0.9543192,0.0007099573,0.00008548246,0.0005018736,0.003493345,0.008995577,0.0156735],"genre_scores_gemma":[0.1209263,0.0008777656,0.8632973,0.000245915,0.00002522176,0.0005438392,0.007933007,0.0003826872,0.005767941],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006926544,"threshold_uncertainty_score":0.02317154,"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."}}