{"id":"W3038812424","doi":"10.3390/ijerph17134785","title":"Digital Technologies-Enabled Smart Manufacturing and Industry 4.0 in the Post-COVID-19 Era: Lessons Learnt from a Pandemic","year":2020,"lang":"en","type":"letter","venue":"International Journal of Environmental Research and Public Health","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Canadian Institutes of Health Research","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus; Infectious disease (medical specialty); Communicable disease; Disease; Betacoronavirus; Virology; Medicine; Business; Medical emergency; Outbreak; Public health; Internal medicine; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006702241,0.0006637982,0.0006945123,0.000522028,0.005674106,0.007349865,0.001640278,0.06727504,0.01506214],"category_scores_gemma":[0.02167745,0.000395407,0.001014729,0.0004723436,0.005475023,0.009126198,0.003352121,0.0375994,0.009313602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005022641,"about_ca_system_score_gemma":0.01217033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009656417,"about_ca_topic_score_gemma":0.01976946,"domain_scores_codex":[0.9952991,0.001571837,0.0003406742,0.0003568002,0.00151633,0.0009152628],"domain_scores_gemma":[0.9845553,0.009179024,0.0006052635,0.0004898517,0.002211459,0.002959115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003070611,0.00004774219,0.0003236956,0.00006531393,0.000004764433,0.001200299,0.0006597051,0.00006276341,0.0002354361,0.0148904,0.9571685,0.02531064],"study_design_scores_gemma":[0.00002357125,0.00006329803,0.0004400543,0.0002699723,0.000005869207,0.0008467043,0.001507867,0.0002424472,0.000169805,0.01521696,0.9811696,0.00004390351],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002751444,0.001040922,0.00009014874,0.9893693,0.004170992,0.000004187253,0.00001847975,0.0000214442,0.005009374],"genre_scores_gemma":[0.005351088,0.001754556,0.0002329308,0.9769655,0.005399407,0.00001483959,0.00002205476,0.00002120339,0.01023837],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06727504,"threshold_uncertainty_score":0.05038792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08400191502905226,"score_gpt":0.336106719449357,"score_spread":0.2521048044203048,"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."}}