{"id":"W4312174329","doi":"10.3390/electronics12010040","title":"6G IoT Tracking- and Machine Learning-Enhanced Blockchained Supply Chain Management","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Blockchain; Internet of Things; Supply chain; Computer science; Competitor analysis; Task (project management); Supply chain management; Layer (electronics); Tracking (education); Wireless; Artificial intelligence; Industrial engineering; Real-time computing; Embedded system; Engineering; Systems engineering; Computer security; Telecommunications; Management","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":[0.000697653,0.0003729303,0.0005948129,0.000383304,0.0004500221,0.0006887613,0.0008483115,0.0006579094,0.002153827],"category_scores_gemma":[0.001648712,0.0001953542,0.0002989279,0.0006088673,0.0003941397,0.001534521,0.0009969168,0.0006162112,0.0003980371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006673437,"about_ca_system_score_gemma":0.001033907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005039813,"about_ca_topic_score_gemma":0.004924765,"domain_scores_codex":[0.9995353,0.0000979922,0.00002681879,0.00009618918,0.0001463459,0.00009742174],"domain_scores_gemma":[0.9993511,0.0002443799,0.0001101772,0.00007189177,0.0001706328,0.00005181549],"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":[0.0001615464,0.0001028919,0.002339035,0.00006918639,0.00003564802,0.0001736757,0.0000807191,0.8842868,0.006753232,0.01265575,0.001330664,0.09201092],"study_design_scores_gemma":[0.000003496968,0.00002172517,0.0001356731,0.000001982017,0.000003507278,0.00001085285,0.000004483867,0.9968926,0.0006179274,0.002036757,0.0002681029,0.000002876428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1731466,0.0008450086,0.8135996,0.0007516106,0.0001724637,0.00007184422,0.0001756061,0.0008809862,0.01035623],"genre_scores_gemma":[0.9857407,0.0001639197,0.01224694,0.00005444612,0.00002590183,0.0000208754,0.00007931079,0.0000129213,0.001654993],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005039813,"threshold_uncertainty_score":0.01002097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00629777448156251,"score_gpt":0.209923828111757,"score_spread":0.2036260536301945,"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."}}