{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001368371,0.0001259367,0.0001526577,0.0002063571,0.00006645301,0.00006289389,0.0002000847,0.0001902892,0.0002336891],"category_scores_gemma":[0.0001027545,0.0001405528,0.00002855921,0.00008225291,0.0001581439,0.0007177017,0.00009289364,0.0002333377,0.00001953029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003368602,"about_ca_system_score_gemma":0.00005377489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002032589,"about_ca_topic_score_gemma":0.00000998942,"domain_scores_codex":[0.9991673,0.00001618686,0.000435595,0.0001026112,0.0001615651,0.0001167463],"domain_scores_gemma":[0.9990442,0.00011048,0.0001253632,0.0002988935,0.0003760921,0.00004491107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001623754,0.00002025231,0.00009888114,0.0000981238,0.0000637265,2.512878e-7,0.0006139674,0.0001757854,0.0001186208,0.8633667,0.0001864232,0.1352411],"study_design_scores_gemma":[0.005265612,0.0004800757,0.009252107,0.001731112,0.0001263851,0.000340965,0.06429587,0.1968046,0.3341445,0.0999265,0.2857931,0.001839139],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4811037,0.00570872,0.0348376,0.07380722,0.00213658,0.001843683,0.000750518,0.001058203,0.3987538],"genre_scores_gemma":[0.9804975,0.01675292,0.002329088,0.0001042624,0.00001057897,0.0001097249,0.0001250191,0.000007286763,0.00006363155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7634402,"threshold_uncertainty_score":0.5731575,"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."}}