{"id":"W4206390723","doi":"10.17223/19988648/54/11","title":"BUSINESS ENGINEERING IN CANADA AS A TOOL FOR ADAPTATION TO THE NEW REALITY UNDER THE CONDITIONS OF COVID-19","year":2021,"lang":"en","type":"article","venue":"Vestnik Tomskogo gosudarstvennogo universiteta Ekonomika","topic":"Regional Economic Development and Innovation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competitor analysis; Adaptation (eye); Openness to experience; Context (archaeology); The Internet; Coronavirus disease 2019 (COVID-19); Computer science; Knowledge management; Business; Data science; Marketing; Management science; Engineering; World Wide Web; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001793567,0.0002955088,0.0002126587,0.003187114,0.00935281,0.005954045,0.0009546207,0.0006569808,0.004628406],"category_scores_gemma":[0.006289142,0.0002113261,0.0002491023,0.004378645,0.003517748,0.001315641,0.00250877,0.000998675,0.0003570624],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08006105,"about_ca_system_score_gemma":0.09425304,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9664293,"about_ca_topic_score_gemma":0.9825843,"domain_scores_codex":[0.9971913,0.0004081409,0.00006429551,0.0002354731,0.00143335,0.0006674823],"domain_scores_gemma":[0.9956201,0.0008077202,0.0003046844,0.0002064088,0.002132911,0.0009282406],"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":[0.0004027435,0.0004685665,0.2348281,0.0004602667,0.00005040368,0.002624759,0.08219445,0.003338248,0.005586245,0.1623028,0.02492124,0.4828221],"study_design_scores_gemma":[0.00002079197,0.0001597019,0.5090142,0.0002470753,0.00005734117,0.0005364547,0.1207852,0.007625025,0.003949696,0.006099461,0.3513504,0.0001546849],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7998511,0.001659933,0.004277825,0.006192514,0.0001151477,0.0002758614,0.0004833859,0.0002374509,0.1869067],"genre_scores_gemma":[0.9717985,0.000700897,0.003578584,0.0002143637,0.000008040919,0.00002920922,0.0001480635,0.00002112752,0.02350126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9199389,"threshold_uncertainty_score":0.5808862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02674564566220231,"score_gpt":0.2153043967664016,"score_spread":0.1885587511041993,"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."}}