{"id":"W2588845958","doi":"10.1007/s10586-017-0767-x","title":"Towards product customization and personalization in IoT-enabled cloud manufacturing","year":2017,"lang":"en","type":"article","venue":"Cluster Computing","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":130,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Cloud computing; Personalization; Product (mathematics); Production (economics); Internet of Things; World Wide Web","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":[0.000776482,0.0003513678,0.0003060805,0.0006141707,0.0005436049,0.001989916,0.000766038,0.0006459696,0.002204429],"category_scores_gemma":[0.001306149,0.0002788917,0.000572429,0.001256163,0.00055763,0.0023002,0.001581739,0.0006954571,0.0006696529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006515898,"about_ca_system_score_gemma":0.000760792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002181832,"about_ca_topic_score_gemma":0.003090271,"domain_scores_codex":[0.9993361,0.0001316189,0.00003808496,0.0001496117,0.0002531754,0.00009139236],"domain_scores_gemma":[0.9990815,0.0001701859,0.00009899015,0.0004544251,0.0001506181,0.00004429584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003621354,0.0006061221,0.01411166,0.0002692823,0.0001032806,0.0005503379,0.001439578,0.0868398,0.1373574,0.07631522,0.006026046,0.6760193],"study_design_scores_gemma":[0.00002759335,0.0002406711,0.01854628,0.0001301699,0.0000876226,0.000940651,0.00176845,0.6861076,0.1482138,0.07144396,0.07241111,0.00008201292],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2688481,0.00117514,0.6811606,0.001027277,0.0001116168,0.0001858447,0.0001680947,0.00186298,0.04546034],"genre_scores_gemma":[0.8807269,0.0008628214,0.111197,0.0001843153,0.00003876179,0.00003539507,0.000199967,0.0001341796,0.00662058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002204429,"threshold_uncertainty_score":0.007374525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0159458025311729,"score_gpt":0.2331499591818148,"score_spread":0.2172041566506419,"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."}}