{"id":"W4416391833","doi":"10.32014/2022.2518-1467.289","title":"СОВЕРШЕНСТВОВАНИЕ СИСТЕМЫ ОЦЕНКИ БЮДЖЕТНЫХ ИНВЕСТИЦИОННЫХ ПРОЕКТОВ В РЕСПУБЛИКЕ КАЗАХСТАН","year":2022,"lang":"","type":"article","venue":"BULLETIN OF THE NATIONAL ACADEMY OF SCIENCES OF THE REPUBLIC OF KAZAKHSTAN ( THE BULLETIN)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Global Affairs Canada; Strong","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.01135317,0.0007056445,0.001217235,0.0006137593,0.00190294,0.00004988053,0.01133248,0.0005205029,0.006470382],"category_scores_gemma":[0.002814498,0.0004526927,0.001264276,0.002708735,0.0091371,0.0001433337,0.003416258,0.002360544,0.00002430858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002839598,"about_ca_system_score_gemma":0.0005944854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003516048,"about_ca_topic_score_gemma":0.000003000318,"domain_scores_codex":[0.9891566,0.001191876,0.002873029,0.0009174063,0.004871078,0.0009899987],"domain_scores_gemma":[0.9935294,0.002069684,0.002874922,0.0007984176,0.0005988886,0.0001286721],"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":[0.0003612916,0.0007546745,0.0008998007,0.0008198091,0.000801691,7.805347e-7,0.0013307,0.1257302,0.00592428,0.6493327,0.2124015,0.001642561],"study_design_scores_gemma":[0.002281873,0.0009978596,0.02319305,0.0009572026,0.0004988372,0.0002823893,0.007585905,0.004002634,0.02944222,0.1678752,0.7615752,0.001307586],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.343735,0.02232898,0.00005380011,0.4525,0.002396498,0.003255453,0.001687592,0.0002231583,0.1738195],"genre_scores_gemma":[0.9918035,0.0009021048,0.0007964583,0.0008875283,0.0001663459,0.00007101467,0.000002722404,0.00005176297,0.005318541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6480685,"threshold_uncertainty_score":0.9999411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02548598691937875,"score_gpt":0.2521970855855868,"score_spread":0.226711098666208,"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."}}