{"id":"W2057086256","doi":"10.1080/0951192x.2010.511652","title":"A model for measuring products assembly complexity","year":2010,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Complexity index; Measure (data warehouse); Product (mathematics); Complexity management; Metric (unit); Computer science; Variety (cybernetics); Structural complexity; Industrial engineering; Automotive industry; Reliability engineering; Engineering drawing; Manufacturing engineering; Engineering; Data mining; Algorithm; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002859511,0.0002147376,0.000245124,0.0003142378,0.00005501207,0.0002148118,0.000633022,0.0000939399,0.00001735766],"category_scores_gemma":[0.00004484313,0.0001874256,0.0001288664,0.00004772728,0.00003212422,0.0004673651,0.00004755484,0.0005196228,0.000003030222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008677378,"about_ca_system_score_gemma":0.00006572726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005229428,"about_ca_topic_score_gemma":0.00001820928,"domain_scores_codex":[0.9986953,0.00001001484,0.0005355328,0.0001582819,0.0003847766,0.0002161447],"domain_scores_gemma":[0.9987653,0.00005405114,0.0002061718,0.0001383577,0.0007444083,0.00009169443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007100284,0.0000467606,0.0000315628,0.00007838081,0.0002181987,0.00001204306,0.0002901714,0.9499806,0.005278197,0.000414685,0.001159829,0.04241863],"study_design_scores_gemma":[0.0005174663,0.00002830473,0.0003311583,0.0000901437,0.00001595811,0.0001005975,0.000007405531,0.7904786,0.2033307,0.001373646,0.003549974,0.0001760096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3167028,0.00002481924,0.6790152,0.0001797,0.003582739,0.0001190908,0.00001274471,0.0001120785,0.0002508845],"genre_scores_gemma":[0.840161,0.00001829187,0.1587531,0.00006237657,0.0009057265,0.000006170251,0.00001512906,0.00003571407,0.0000424041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5234582,"threshold_uncertainty_score":0.7642992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03811473332903426,"score_gpt":0.2501542970139215,"score_spread":0.2120395636848872,"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."}}