{"id":"W4200166929","doi":"10.1109/ictc52510.2021.9620771","title":"Benefits, Challenges and Practical Concerns of IoT for Smart Manufacturing","year":2021,"lang":"en","type":"article","venue":"2021 International Conference on Information and Communication Technology Convergence (ICTC)","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Information Technology Research Centre; Ministry of Education, Science and Technology; Neurosciences Research Foundation","keywords":"Software deployment; Internet of Things; Key (lock); Computer science; Raw data; Computer security; Telecommunications; Data science; Software engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001920147,0.0004086629,0.0003753527,0.000704776,0.000763508,0.003214851,0.0007104818,0.002842202,0.002383535],"category_scores_gemma":[0.002103394,0.0002118975,0.0003915672,0.0008444923,0.002084003,0.00573354,0.001501055,0.002545616,0.0005452145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008183671,"about_ca_system_score_gemma":0.001515163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005525029,"about_ca_topic_score_gemma":0.0008452535,"domain_scores_codex":[0.9987458,0.0003811159,0.00006897179,0.0001252932,0.0005617666,0.000117137],"domain_scores_gemma":[0.9983146,0.00104989,0.0001100616,0.00007776341,0.0003808072,0.00006682274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005656009,0.0000536297,0.001372283,0.004567179,0.00003373369,0.0009104393,0.001056224,0.002366561,0.003551393,0.6682853,0.02986743,0.2878792],"study_design_scores_gemma":[0.0000054352,0.0000949859,0.001056585,0.002950898,0.0000326772,0.002022285,0.003073089,0.002258898,0.001742304,0.2388763,0.7478304,0.0000561437],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01072064,0.7666089,0.02355517,0.08823714,0.004749208,0.00005009624,0.0001149708,0.00009207977,0.1058719],"genre_scores_gemma":[0.229232,0.7208356,0.01688065,0.01220325,0.007931179,0.0001301687,0.0001251296,0.00003572903,0.01262623],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003214851,"threshold_uncertainty_score":0.01015484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06279569920379581,"score_gpt":0.2886415820026615,"score_spread":0.2258458827988657,"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."}}