{"id":"W4283330994","doi":"10.3390/app12136358","title":"Construction and Application of Enterprise Knowledge Base for Product Innovation Design","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Design Education and Practice","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"National Natural Science Foundation of China","keywords":"TRIZ; Computer science; Knowledge base; Construct (python library); Product (mathematics); Product design; Systems engineering; Manufacturing engineering; Industrial engineering; Engineering; Artificial intelligence; Mathematics","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":[0.001618263,0.0006978974,0.0006966916,0.006993857,0.001184235,0.003344949,0.001765503,0.0009178555,0.004513742],"category_scores_gemma":[0.005198232,0.000614655,0.001124401,0.005097532,0.0004537314,0.003186302,0.00242379,0.0008629942,0.001494542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581554,"about_ca_system_score_gemma":0.002990178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009619841,"about_ca_topic_score_gemma":0.008155319,"domain_scores_codex":[0.9984205,0.0003203772,0.0001756616,0.0003162623,0.0006643059,0.0001030142],"domain_scores_gemma":[0.9979703,0.0007184775,0.0001262253,0.0005341425,0.0005566925,0.00009417124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00014759,0.0004990181,0.006002229,0.0007384648,0.0001323345,0.0009310697,0.001339725,0.05256163,0.01131737,0.05752441,0.005538727,0.8632674],"study_design_scores_gemma":[0.0001604309,0.0002600932,0.007430379,0.0007668182,0.0003905121,0.001056717,0.001941913,0.7233258,0.04512617,0.08315295,0.1362009,0.0001872882],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0358943,0.0005149124,0.9363171,0.0003468163,0.0000462772,0.0005343101,0.001546203,0.002661405,0.02213869],"genre_scores_gemma":[0.1803624,0.0008007349,0.8101735,0.00007170951,0.00001596422,0.0004851159,0.003449926,0.000136624,0.004504044],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009619841,"threshold_uncertainty_score":0.01912767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03385987354822656,"score_gpt":0.2843288619913106,"score_spread":0.250468988443084,"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."}}