{"id":"W106437413","doi":"","title":"Symbiotic Design of Products and Manufacturing Systems Using Biological Analysis","year":2009,"lang":"en","type":"article","venue":"CERES (Cranfield University)","topic":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Product (mathematics); Computer science; Systems design; Product design; Manufacturing engineering; New product development; Systems engineering; Engineering; Software engineering; Business; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000724778,0.0001323124,0.0002988125,0.000417644,0.00005980775,0.00002417248,0.0001292683,0.0001232921,0.00005688631],"category_scores_gemma":[0.000005838057,0.0001215708,0.00005965047,0.0002825579,0.00003374367,0.00008895036,0.00001398175,0.00009083719,0.000005165253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003409749,"about_ca_system_score_gemma":0.000008543151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000619981,"about_ca_topic_score_gemma":0.00000124057,"domain_scores_codex":[0.999366,0.00004883756,0.0001479727,0.0001874953,0.00006641328,0.0001832726],"domain_scores_gemma":[0.9996417,0.00005593524,0.00004316239,0.0001820492,0.00002224077,0.0000549209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005964807,0.00003170165,0.0004267514,0.0003970606,0.0007560276,0.00005284738,0.000193283,0.9599429,0.03617292,0.0005866225,0.0002663384,0.001113842],"study_design_scores_gemma":[0.002119389,0.0006969534,0.01618592,0.0005581915,0.001954577,0.00009124049,0.002290963,0.2395432,0.7253335,0.0001418434,0.009153271,0.00193096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671192,0.0005234726,0.02134825,0.00001778687,0.0002103891,0.0002163747,0.000003721961,0.0001311899,0.01042968],"genre_scores_gemma":[0.9981036,0.0001049499,0.0002258269,0.000003447559,0.00003704103,8.957818e-8,0.000002082278,0.000005611895,0.001517358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7203998,"threshold_uncertainty_score":0.4957512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0296808489258254,"score_gpt":0.184987765752235,"score_spread":0.1553069168264096,"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."}}