{"id":"W5303450","doi":"10.1007/bf00430633","title":"Complexity of products and their assembly systems","year":2011,"lang":"en","type":"article","venue":"","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Complexity management; Complexity index; Variety (cybernetics); Computer science; Structural complexity; Product (mathematics); Mass customization; Coding (social sciences); Industrial engineering; Personalization; Engineering; Mathematics; Algorithm; Artificial intelligence","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":[0.0002147227,0.00007683739,0.0001149909,0.00008237774,0.00004839559,0.00004105865,0.00007992097,0.00002076821,0.00005731138],"category_scores_gemma":[0.00003676417,0.00005453228,0.000009658854,0.0002063654,0.00005142588,0.0005151207,0.00007130573,0.00002351995,0.00003108805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003537722,"about_ca_system_score_gemma":0.000008603277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002855399,"about_ca_topic_score_gemma":0.00001328614,"domain_scores_codex":[0.9995503,0.000003830809,0.0001445017,0.0001428679,0.00006467575,0.0000937788],"domain_scores_gemma":[0.9996168,0.000003216782,0.0001034017,0.0001164846,0.0001564281,0.000003696076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00007032627,0.000195424,0.08820531,0.001085286,0.00007031816,0.00000136266,0.000782999,0.000002636928,0.008606956,0.8836769,0.01148398,0.005818501],"study_design_scores_gemma":[0.002181749,0.00004386469,0.7868768,0.0002403816,0.0001185293,0.0000121441,0.004355999,0.0111776,0.06187147,0.04246867,0.08918425,0.001468549],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8212091,0.0001510057,0.0008331389,0.0003110303,0.0004305873,0.0003286856,5.962711e-7,0.0001303144,0.1766055],"genre_scores_gemma":[0.998801,0.000003648604,0.0003465861,0.00009698828,0.0001919468,0.000004432737,0.000008903464,0.000007227219,0.0005392824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8412082,"threshold_uncertainty_score":0.2223762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07310740847247799,"score_gpt":0.1987360065388044,"score_spread":0.1256285980663265,"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."}}