{"id":"W4316804506","doi":"10.3390/encyclopedia3010009","title":"The Impact of AI Technologies on E-Business","year":2023,"lang":"en","type":"article","venue":"Encyclopedia","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Canada West","funders":"","keywords":"Competitor analysis; Order (exchange); Process (computing); Computer science; Business; Knowledge management; Competitive intelligence; Emerging technologies; Marketing; Artificial intelligence","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":[0.006954642,0.0005079707,0.0003018357,0.002656353,0.002117483,0.01311358,0.001247124,0.003509603,0.01380535],"category_scores_gemma":[0.02191114,0.0004188119,0.000472143,0.003430424,0.006406965,0.01776854,0.004560999,0.00438383,0.003712475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003593241,"about_ca_system_score_gemma":0.001967527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002276413,"about_ca_topic_score_gemma":0.00155303,"domain_scores_codex":[0.9930944,0.003819405,0.0002192414,0.0003913731,0.002110234,0.0003653444],"domain_scores_gemma":[0.9653498,0.02791575,0.001046457,0.001870618,0.002772846,0.001044632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008272192,0.0001035359,0.002337761,0.0008290298,0.00004274658,0.0003766023,0.00161187,0.001965491,0.0009237358,0.7197652,0.04196039,0.2300009],"study_design_scores_gemma":[0.00001824406,0.0000709968,0.004136123,0.001725111,0.00002474408,0.0007659908,0.003314059,0.004114457,0.001497792,0.3954967,0.5887718,0.00006407809],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02772634,0.1228263,0.02393201,0.1879638,0.002819957,0.00009614072,0.000492724,0.0004160123,0.6337267],"genre_scores_gemma":[0.6645213,0.2171228,0.03719044,0.02762331,0.006675368,0.0002476375,0.0005331642,0.0003728535,0.04571301],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01380535,"threshold_uncertainty_score":0.04618353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0398339082981402,"score_gpt":0.3133460478641206,"score_spread":0.2735121395659804,"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."}}