{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003006505,0.000157616,0.0002011445,0.0002165722,0.0002033115,0.000101152,0.0003279659,0.00004349033,0.0001360988],"category_scores_gemma":[0.0002557338,0.0001363184,0.00005556874,0.001207469,0.00003151538,0.0006448052,0.0001283795,0.00009018391,0.00002102267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007431819,"about_ca_system_score_gemma":0.003132784,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3201731,"about_ca_topic_score_gemma":0.511683,"domain_scores_codex":[0.9989813,0.00001459907,0.0003540339,0.0002706152,0.0001438808,0.0002355831],"domain_scores_gemma":[0.9989886,0.0002246425,0.0002189379,0.000279805,0.000257883,0.00003007824],"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":[0.0001970164,0.00004983469,0.004147442,0.0001761518,0.0001377273,0.00001833192,0.0006657148,0.3819814,0.0002942644,0.4000247,0.2109207,0.001386769],"study_design_scores_gemma":[0.001659715,0.000009513828,0.09486285,0.00005855088,0.00006552026,0.000006345444,0.006759473,0.01477174,0.00006944486,0.003222558,0.8781546,0.000359711],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8820326,0.00004964012,0.01454631,0.09951843,0.0006233082,0.0008438584,0.00003584638,0.00003884315,0.002311107],"genre_scores_gemma":[0.9909206,0.00001157142,0.000240467,0.007264178,0.0003145817,0.00001832704,0.0002597366,0.00001912413,0.0009514391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6672339,"threshold_uncertainty_score":0.6843539,"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."}}