{"id":"W3192720893","doi":"10.1108/jedt-03-2021-0129","title":"A review of the role of digitalization in health risk management in extractive industries – a study motivated by COVID-19","year":2021,"lang":"en","type":"review","venue":"Journal of Engineering Design and Technology","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Memorial University of Newfoundland","funders":"","keywords":"Pandemic; Business; Resilience (materials science); Coronavirus disease 2019 (COVID-19); Originality; Psychological resilience; Digital health; Preparedness; Personal protective equipment; Software deployment; Risk analysis (engineering); Knowledge management; Engineering; Health care; Computer science; Political science; Medicine; Infectious disease (medical specialty); Economic growth; Disease; Economics; Management; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001214666,0.0002063762,0.001160195,0.001323256,0.00002516163,0.00002250366,0.0003446607,0.0001302519,0.000005618036],"category_scores_gemma":[0.0007274436,0.0001421417,0.0000896968,0.002723994,0.00004314719,0.0001727727,0.0001950641,0.0004291944,1.90005e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001238766,"about_ca_system_score_gemma":0.0001222156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008384129,"about_ca_topic_score_gemma":0.000005208004,"domain_scores_codex":[0.9982942,0.00007915548,0.001105892,0.0001758575,0.000179814,0.0001650502],"domain_scores_gemma":[0.9979751,0.0001099671,0.001608876,0.0002039625,0.00008938651,0.00001273518],"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":[0.00001127778,0.0006342144,0.003623618,0.07913215,0.000453561,0.00005901029,0.00007503833,0.002334393,0.000001409681,0.002087463,0.001291806,0.9102961],"study_design_scores_gemma":[0.0005890253,0.00009174732,0.00007303992,0.07455705,0.0003875818,0.00001645435,0.001170796,0.0003869252,0.000003049564,0.0003470464,0.9221795,0.000197796],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001266984,0.995866,0.002516487,0.0001582687,0.00006214146,0.001234095,0.000002388511,0.00001169124,0.0000222259],"genre_scores_gemma":[0.002669403,0.9970567,0.0001399219,0.00005184236,0.0000165731,0.00003631239,0.000003740736,0.00001709843,0.000008440735],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9208877,"threshold_uncertainty_score":0.5796372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02028303866590745,"score_gpt":0.283446938795978,"score_spread":0.2631639001300706,"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."}}