{"id":"W2008060519","doi":"10.1115/1.4006439","title":"A Co-Evolution Model for Prediction and Synthesis of New Products and Manufacturing Systems","year":2012,"lang":"en","type":"article","venue":"Journal of Mechanical Design","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Set (abstract data type); Imperfect; Product (mathematics); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001249545,0.00008085095,0.0001859609,0.0001439944,0.00005962786,0.00004896935,0.00005408713,0.00005506564,0.000001932616],"category_scores_gemma":[0.0003525982,0.00006511272,0.00002404506,0.00006042155,0.000009442793,0.001036151,0.00001594456,0.00005417396,8.496298e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002742289,"about_ca_system_score_gemma":0.00003301328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004428698,"about_ca_topic_score_gemma":1.607059e-7,"domain_scores_codex":[0.9992747,0.00001383969,0.0003238857,0.0000877936,0.0001724939,0.0001272554],"domain_scores_gemma":[0.9993565,0.00005108683,0.0003893541,0.00005221224,0.0001275854,0.00002326708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.008787577,0.001955065,0.01266975,0.01184233,0.00145137,0.000008265895,0.001711648,0.04285216,0.406432,0.2024126,0.1251294,0.1847479],"study_design_scores_gemma":[0.003403793,0.000145157,0.008140421,0.0008074303,0.0009413219,0.00009787521,0.0003648731,0.8339058,0.1260598,0.02242539,0.003194655,0.0005134504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09579454,0.0006065898,0.9023282,0.0003722468,0.0004332192,0.0003984741,0.000001736906,0.00001696799,0.00004800588],"genre_scores_gemma":[0.991296,0.00003830093,0.00756363,0.00002339808,0.0009848861,0.000005504629,0.000001265368,0.00001088878,0.00007614552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8955014,"threshold_uncertainty_score":0.265522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04268281183434517,"score_gpt":0.2245389817020133,"score_spread":0.1818561698676681,"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."}}