{"id":"W1989204558","doi":"10.1080/09537280500112181","title":"Coordinating product and process variety for mass customized order fulfilment","year":2005,"lang":"en","type":"article","venue":"Production Planning & Control","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mass customization; Variety (cybernetics); Order fulfillment; Product (mathematics); Engineering; Product design; Manufacturing engineering; Engineering management; Product management; Systems engineering; New product development; Computer science; Personalization; Business; Supply chain; World Wide Web; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001208152,0.0004848528,0.0004101807,0.001340111,0.0007902597,0.001751157,0.001061877,0.0004328509,0.002962264],"category_scores_gemma":[0.001995364,0.0002936426,0.0004376169,0.00135332,0.0006823348,0.001465699,0.001983986,0.0004982922,0.0005995387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009294904,"about_ca_system_score_gemma":0.001174685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003056958,"about_ca_topic_score_gemma":0.002104703,"domain_scores_codex":[0.9990182,0.0002473584,0.00008705798,0.000214148,0.0003179803,0.000115239],"domain_scores_gemma":[0.9983616,0.0003632701,0.0002555842,0.0006513053,0.0002353171,0.0001328966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008678922,0.0005263584,0.01633441,0.0002941905,0.00008301962,0.001556197,0.002442123,0.1302089,0.1797165,0.07952175,0.006894933,0.5815538],"study_design_scores_gemma":[0.0001255834,0.0004087157,0.009132815,0.00006303285,0.0001093761,0.000727852,0.0007486775,0.7682297,0.1216102,0.04236097,0.05635753,0.0001255276],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.149737,0.0001720499,0.8238641,0.0001947537,0.00005353904,0.00042225,0.0001156058,0.007110467,0.01833021],"genre_scores_gemma":[0.8198474,0.0001277907,0.1723037,0.00006070582,0.00002540974,0.0001744485,0.0002876801,0.0002634005,0.006909346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003056958,"threshold_uncertainty_score":0.009909749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132694481636247,"score_gpt":0.2364265585581992,"score_spread":0.2250996137418368,"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."}}