{"id":"W4319599387","doi":"10.3390/su15043028","title":"Operationalizing Mass Customization in Manufacturing SMEs—A Systematic Literature Review","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Mass customization; Operationalization; Personalization; Context (archaeology); Maturity (psychological); Business; Process management; Globalization; Marketing; Knowledge management; Computer science; Economics; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01281186,0.001097079,0.003309612,0.01860963,0.0007801522,0.003441167,0.001615953,0.001929361,0.002643754],"category_scores_gemma":[0.05540062,0.0008471624,0.003438959,0.01622678,0.001485903,0.003955864,0.00201669,0.001132687,0.0003020113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003263405,"about_ca_system_score_gemma":0.0205408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008042582,"about_ca_topic_score_gemma":0.02376681,"domain_scores_codex":[0.9895105,0.003648767,0.003766648,0.0007870221,0.002036476,0.0002505588],"domain_scores_gemma":[0.9145464,0.06963396,0.00877647,0.001180383,0.005305157,0.0005576143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00009247371,0.00008866434,0.003546373,0.8237281,0.001798112,0.0003862755,0.002141395,0.0003007674,0.0003141386,0.001809004,0.001955472,0.1638392],"study_design_scores_gemma":[0.00002761186,0.0001688778,0.00660752,0.9495386,0.006135056,0.0006871153,0.002934081,0.0001449327,0.000279157,0.000733325,0.03269757,0.00004611591],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.004094838,0.9931564,0.0006363426,0.0004846305,0.00008637278,0.0003909018,0.0003425923,0.000008664887,0.0007991297],"genre_scores_gemma":[0.03335156,0.9629759,0.002125911,0.0005162338,0.00006613135,0.0005414974,0.0003074565,0.000007557368,0.0001077316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01860963,"threshold_uncertainty_score":0.06775635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008205686158514976,"score_gpt":0.2366973814226047,"score_spread":0.2284916952640897,"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."}}