{"id":"W4289941845","doi":"10.3390/machines10080652","title":"Multi-Analogy Innovation Design Based on Digital Twin","year":2022,"lang":"en","type":"article","venue":"Machines","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"National Natural Science Foundation of China","keywords":"TRIZ; Analogy; Computer science; Product design; Exemplification; Conceptual design; Systems engineering; Design technology; Process (computing); Function (biology); Product (mathematics); Design process; Industrial engineering; Iterative design; Engineering; Artificial intelligence; Human–computer interaction; Work in process; Mathematics; Operations management","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":[0.002059546,0.0008035295,0.0006083351,0.001680577,0.001095633,0.002119562,0.001353872,0.0008987354,0.007437432],"category_scores_gemma":[0.003601058,0.0004338852,0.001381014,0.001188395,0.002538573,0.003599914,0.002872263,0.001294165,0.000740706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626159,"about_ca_system_score_gemma":0.001787128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001212797,"about_ca_topic_score_gemma":0.001088582,"domain_scores_codex":[0.9977374,0.0007677675,0.0001670201,0.0004045266,0.0008073549,0.0001159243],"domain_scores_gemma":[0.9987305,0.0005355756,0.0001323052,0.0003219556,0.0002100343,0.00006967016],"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":[0.00009204436,0.0000936836,0.00103831,0.0003351265,0.00004635278,0.000181061,0.0008221628,0.08128459,0.008038959,0.7740617,0.0009688211,0.1330373],"study_design_scores_gemma":[0.0001271519,0.0004574645,0.0007090156,0.0001209421,0.0001177749,0.000592988,0.0003597803,0.5556825,0.01164647,0.369482,0.06062083,0.00008310702],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007387834,0.0001177086,0.9735444,0.0001240105,0.00002646048,0.0001213583,0.00001974776,0.0001501972,0.01850839],"genre_scores_gemma":[0.3150355,0.0003351869,0.6758754,0.0001159283,0.00002716735,0.0004742222,0.00008387468,0.00007593853,0.007976864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007437432,"threshold_uncertainty_score":0.02488071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03452726300195331,"score_gpt":0.2420315807497972,"score_spread":0.2075043177478439,"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."}}