{"id":"W2581196458","doi":"","title":"Контракты жизненного цикла в сфере закупок товаров, работ, услуг для обеспечения государственных и муниципальных нужд","year":2014,"lang":"ru","type":"article","venue":"Современные проблемы науки и образования","topic":"Legal and Regulatory Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Procurement; Russian federation; Business; Work (physics); General partnership; Goods and services; State (computer science); Finance; Economic policy; Economics; Engineering; Economy; Marketing","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":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.007147613,0.002925854,0.003850099,0.001291248,0.005910689,0.002023424,0.004975811,0.002829728,0.02589107],"category_scores_gemma":[0.001705891,0.002746246,0.002835445,0.005331996,0.004587177,0.002686032,0.001416738,0.003011136,0.01370766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001308842,"about_ca_system_score_gemma":0.001801533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009134032,"about_ca_topic_score_gemma":0.008524025,"domain_scores_codex":[0.9776183,0.003757361,0.003644989,0.004361925,0.005145571,0.005471806],"domain_scores_gemma":[0.9874214,0.001628766,0.002176438,0.004136999,0.001243719,0.003392681],"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":[0.002412185,0.007625051,0.02554886,0.002295916,0.007291806,0.0009472868,0.06722751,0.002353875,0.01216621,0.2207618,0.2705475,0.380822],"study_design_scores_gemma":[0.004928103,0.001587061,0.01775797,0.0007309264,0.002788993,0.00007671356,0.006312794,0.004051707,0.002150718,0.01625392,0.9378381,0.005522951],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3734917,0.01022984,0.00228353,0.02983041,0.02235757,0.004193917,0.0007506271,0.002950175,0.5539122],"genre_scores_gemma":[0.8929515,0.001090618,0.000873325,0.00414668,0.01060457,0.0001810522,0.0002733985,0.0004394857,0.08943935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6672906,"threshold_uncertainty_score":0.999289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008924429550942354,"score_gpt":0.2572197477360932,"score_spread":0.2482953181851508,"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."}}