{"id":"W4392247853","doi":"10.32782/2524-0072/2024-59-87","title":"ЕФЕКТИВНИЙ ЕКОНОМІЧНИЙ РОЗВИТОК ПІДПРИЄМСТВА ЧЕРЕЗ ІНТЕЛЕКТУАЛЬНИЙ АНАЛІЗ ДАНИХ: ВИКОРИСТАННЯ AI ДЛЯ ПРОГНОЗУВАННЯ ТА ОПТИМІЗАЦІЇ СТРАТЕГІЙ БІЗНЕСУ","year":2024,"lang":"uk","type":"article","venue":"Економіка та суспільство","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mitel (Canada)","funders":"","keywords":"Computer science","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":[0.003311799,0.0008682652,0.0005601678,0.002705615,0.004593497,0.01318131,0.001480289,0.003198236,0.02864683],"category_scores_gemma":[0.009445154,0.0006746019,0.0008537939,0.002227481,0.0109895,0.01017747,0.004567327,0.003830844,0.00759825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006570371,"about_ca_system_score_gemma":0.006768395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01034879,"about_ca_topic_score_gemma":0.008191035,"domain_scores_codex":[0.9957913,0.001359118,0.0002080631,0.0007595731,0.001338758,0.0005430458],"domain_scores_gemma":[0.995773,0.001487105,0.000386637,0.0004692781,0.00134405,0.0005398494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004647226,0.00004166871,0.001520106,0.000171484,0.00001899581,0.0003580089,0.00811613,0.0005425292,0.0007412123,0.9566651,0.007306374,0.02447201],"study_design_scores_gemma":[0.00003783183,0.00005678234,0.004608142,0.0004860004,0.00005146748,0.000602973,0.01521879,0.002274288,0.001674869,0.6705569,0.3043349,0.00009701653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04181577,0.006421257,0.06657662,0.0217631,0.001004631,0.0001897623,0.0005377617,0.000262468,0.8614286],"genre_scores_gemma":[0.7710207,0.006489382,0.05384934,0.002866417,0.0005319088,0.0004723652,0.0005495902,0.0004745711,0.1637458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02864683,"threshold_uncertainty_score":0.09583318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.014468716617096,"score_gpt":0.2425169398591161,"score_spread":0.2280482232420201,"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."}}