{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001811265,0.0001152724,0.0001165664,0.00008442024,0.00018877,0.0003112249,0.0001363849,0.00006054252,0.000008520309],"category_scores_gemma":[0.00003803125,0.000126041,0.00001703003,0.00003958849,0.00003238596,0.0004233132,0.00006054787,0.0001470289,0.000009157546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006901661,"about_ca_system_score_gemma":0.000009307297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000102568,"about_ca_topic_score_gemma":0.000005516939,"domain_scores_codex":[0.9993409,0.00001331976,0.0002139844,0.0001461325,0.0001016782,0.0001839861],"domain_scores_gemma":[0.9996864,0.0000170214,0.00005156417,0.0001852697,0.0000216155,0.0000381648],"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":[0.00001584568,0.00002533669,0.02172133,0.001047891,0.00003149589,0.000009253115,0.005823578,0.8001165,0.0002263907,0.0002856261,0.001303487,0.1693933],"study_design_scores_gemma":[0.0008803007,0.000007389741,0.04974779,0.0002897926,0.000007324079,0.00001759035,0.0002587299,0.9418684,0.004810507,0.0001201742,0.001707893,0.0002841411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9288973,0.00004880162,0.03647697,0.0001682499,0.0006750042,0.0002206081,0.000001653943,0.0001893521,0.03332206],"genre_scores_gemma":[0.9987132,0.000005977544,0.000887545,0.00002932528,0.0002340526,0.000002981387,0.000007759795,0.00002259966,0.00009657435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1691092,"threshold_uncertainty_score":0.5139802,"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."}}