{"id":"W2519963258","doi":"10.1109/cscwd.2016.7566069","title":"Applications of Internet of Things in manufacturing","year":2016,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Software deployment; Cloud computing; Internet of Things; Key (lock); Big data; Radio-frequency identification; Architecture; Interconnection; Telecommunications; Computer security; Software engineering","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":[0.0001245467,0.00003396948,0.00006972713,0.00007826493,0.000005798953,0.00000583666,0.0004009512,0.00001656346,0.000004652143],"category_scores_gemma":[0.000005343322,0.00002203293,0.00001979781,0.00008085641,0.00001678852,0.0001667147,0.0001909704,0.000022899,0.00001167153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000100087,"about_ca_system_score_gemma":0.000009716014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000900427,"about_ca_topic_score_gemma":0.000001266702,"domain_scores_codex":[0.9995863,0.000007896669,0.0001577017,0.0001023332,0.00006381105,0.00008192402],"domain_scores_gemma":[0.9996589,0.00006730772,0.00005496244,0.0001879578,0.00001679764,0.00001406925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002027998,0.00005404037,0.005776177,0.00004050508,0.000006678173,7.55648e-7,0.001953819,0.000002235153,0.007465397,0.03286695,0.001118765,0.9507127],"study_design_scores_gemma":[0.000373347,0.00003913079,0.01231868,0.0001507519,0.000001326642,0.000003579466,0.00001655181,0.008307762,0.9502998,0.01752598,0.01082101,0.0001420673],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08133511,0.000008559515,0.9086654,0.0001920324,0.0002300414,0.00004805679,1.455903e-8,0.00002574986,0.009494994],"genre_scores_gemma":[0.9729759,0.000001174251,0.02640187,0.00003418915,0.00004240362,0.000002479617,5.339458e-8,0.00000161797,0.0005403929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9505706,"threshold_uncertainty_score":0.08984766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00943416310435068,"score_gpt":0.2248361501370489,"score_spread":0.2154019870326982,"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."}}