{"id":"W4366348185","doi":"10.3390/a16040211","title":"Impact of Digital Transformation on the Energy Sector: A Review","year":2023,"lang":"en","type":"review","venue":"Algorithms","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Alberta","keywords":"Digital transformation; Scope (computer science); Transformative learning; Computer science; Transformation (genetics); Key (lock); Risk analysis (engineering); Data science; Knowledge management; Computer security; Business; Sociology; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001503671,0.0003945726,0.0009860382,0.0001638182,0.00002687573,0.00007691156,0.0003637343,0.0002242465,0.0001119433],"category_scores_gemma":[0.00002601561,0.0002390788,0.0008683574,0.0007376269,0.00003457387,0.0003814515,0.00001158376,0.0003583338,0.0003610606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001632224,"about_ca_system_score_gemma":0.00008375302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004925662,"about_ca_topic_score_gemma":3.441049e-7,"domain_scores_codex":[0.9984326,0.00003005046,0.0008414826,0.0001310963,0.00032229,0.0002425325],"domain_scores_gemma":[0.999115,0.0002721497,0.000128518,0.0003805769,0.00003931718,0.00006441645],"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":[2.815584e-7,0.00001063865,3.133498e-8,0.02497541,0.0003133335,0.000001855461,0.00002743179,0.0001116411,1.082154e-8,0.000439052,0.0063476,0.9677727],"study_design_scores_gemma":[0.00005321304,0.00005586188,3.313501e-7,0.04681536,0.0001992206,0.0000338935,0.00000755748,0.0003441882,0.000001211286,0.00007779773,0.9521226,0.0002887937],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[4.629598e-7,0.9573283,0.000601146,0.00001280153,0.0002635381,0.000523511,0.0009914089,0.0003074324,0.03997141],"genre_scores_gemma":[0.00003188547,0.9989309,0.000005454885,0.00001139909,0.0001028293,0.0001877835,0.0004726005,0.000099859,0.0001572947],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9674839,"threshold_uncertainty_score":0.9749352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07794594311526891,"score_gpt":0.3176272752449045,"score_spread":0.2396813321296355,"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."}}