{"id":"W4321650312","doi":"","title":"Миллий иқтисодиётнинг жаҳон иқтисодиётига интеграциялашувини кенгайтириш масалалари","year":2022,"lang":"ru","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trudell Medical International (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":[0.001996215,0.000481142,0.0003764085,0.002399619,0.002245655,0.006409227,0.0007025984,0.001408973,0.02883073],"category_scores_gemma":[0.005017792,0.0005308097,0.0004537105,0.002290003,0.003745462,0.003488835,0.002353552,0.00209229,0.009383641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002326849,"about_ca_system_score_gemma":0.004552268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002934597,"about_ca_topic_score_gemma":0.003872096,"domain_scores_codex":[0.9969348,0.0005659703,0.0001242979,0.0004183325,0.001666051,0.0002905001],"domain_scores_gemma":[0.9972317,0.0007820268,0.0003700916,0.0004251417,0.0009062123,0.000284827],"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":[0.0001405262,0.0001021972,0.002535246,0.0005469052,0.00004782375,0.0006231382,0.003627559,0.0007373655,0.01872745,0.8123218,0.0166935,0.1438965],"study_design_scores_gemma":[0.00003547239,0.0001121547,0.00432632,0.0003152978,0.00005178695,0.001041658,0.002619758,0.0005868967,0.01537038,0.1793048,0.7961326,0.0001027571],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05599565,0.0188306,0.07306373,0.01308981,0.001840009,0.0002971575,0.0008581334,0.0004586078,0.8355663],"genre_scores_gemma":[0.7208639,0.01942087,0.07486296,0.001623896,0.00102165,0.0006891883,0.0005940285,0.0004376171,0.1804859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02883073,"threshold_uncertainty_score":0.09644842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1817655622882317,"score_gpt":0.5003075389752111,"score_spread":0.3185419766869794,"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."}}