{"id":"W4306174225","doi":"10.1007/978-3-031-17091-1_29","title":"Remote Learning: Implementing IIoT and Industry 4.0 Technologies Using PLCs","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Engineering management; Automation; Quality (philosophy); Programmable logic controller; The Internet; Graduation (instrument); Engineering; Emerging technologies; Computer science; Industry 4.0; Capstone; Knowledge management; Software engineering; World Wide Web; Embedded system; Artificial intelligence; Computer security","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":[0.0004512496,0.0004662697,0.0001540453,0.000331853,0.0003702339,0.001982072,0.0008243985,0.0008577773,0.01646102],"category_scores_gemma":[0.0004649298,0.0002207812,0.0002608474,0.0003225035,0.0004650023,0.0022146,0.001425487,0.000849999,0.004018148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003995998,"about_ca_system_score_gemma":0.000578027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001478936,"about_ca_topic_score_gemma":0.001565137,"domain_scores_codex":[0.9997008,0.00004472166,0.000008481836,0.0000383726,0.0001391756,0.00006854322],"domain_scores_gemma":[0.9998228,0.00004866588,0.00001281371,0.00003955584,0.00003880138,0.00003725568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003869229,0.0005918831,0.002118196,0.0002515243,0.00001254262,0.0007388615,0.001738554,0.01004522,0.07173469,0.06889209,0.01632921,0.8271603],"study_design_scores_gemma":[0.0001799793,0.001688555,0.008351086,0.0004038804,0.00006532607,0.001605718,0.001867814,0.0914392,0.1616869,0.03300659,0.6995958,0.0001091388],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.11217,0.0007748759,0.4389649,0.0009826289,0.0003189183,0.0002063375,0.0001055437,0.01187933,0.4345974],"genre_scores_gemma":[0.5538164,0.0009506767,0.1378176,0.0005337117,0.0001139082,0.0001216338,0.0003838357,0.001135708,0.3051266],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01646102,"threshold_uncertainty_score":0.0550676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02321812512506798,"score_gpt":0.2296493118396677,"score_spread":0.2064311867145998,"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."}}