{"id":"W7094452355","doi":"","title":"ÐомпаÑаÑивний аналÑз еÑекÑивноÑÑÑ Ð²Ð¸ÐºÐ¾ÑиÑÑÐ°Ð½Ð½Ñ Ð³Ð°Ð·Ð¾ÑÑÑбÑнного Ñа елекÑÑиÑного пÑиводÑв газопеÑекаÑÑвалÑÐ½Ð¸Ñ Ð°Ð³ÑегаÑÑв компÑеÑоÑÐ½Ð¸Ñ ÑÑанÑÑй магÑÑÑÑалÑÐ½Ð¸Ñ Ð³Ð°Ð·Ð¾Ð¿ÑоводÑв","year":2016,"lang":"uk","type":"article","venue":"Electronic scientific archive of UrFU (Ural Federal University)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gas compressor; Pipeline transport; Fossil fuel; Modernization theory; Ukrainian; Gas turbines; Compressor station; Electric power; Consumption (sociology); Petroleum; Power (physics)","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","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.006837529,0.008157772,0.009421567,0.008240099,0.008880978,0.002289117,0.01156835,0.004076844,0.005031239],"category_scores_gemma":[0.005501579,0.007798928,0.006181346,0.01094815,0.01292063,0.005144488,0.00717493,0.008695601,0.005656775],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007885905,"about_ca_system_score_gemma":0.01345766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006379587,"about_ca_topic_score_gemma":0.008044762,"domain_scores_codex":[0.9508067,0.003929717,0.007572167,0.01193747,0.009576315,0.01617762],"domain_scores_gemma":[0.9640439,0.007813407,0.00624585,0.009661467,0.004260125,0.007975319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02431314,0.0130294,0.04015692,0.004310126,0.0131425,0.007925126,0.01017016,0.0007053121,0.4656397,0.1343361,0.2340368,0.05223466],"study_design_scores_gemma":[0.05847621,0.01502564,0.01645604,0.01370863,0.009353759,0.002671778,0.009905777,0.004388581,0.04707811,0.01890004,0.7854464,0.01858907],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7824261,0.01919724,0.01140558,0.01696091,0.02198116,0.0161229,0.02517616,0.00520377,0.1015262],"genre_scores_gemma":[0.8392782,0.005718939,0.002477269,0.001346698,0.003744463,0.0001630899,0.006449182,0.001363241,0.1394589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5514096,"threshold_uncertainty_score":0.9987466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066522667766624,"score_gpt":0.2095060609054582,"score_spread":0.198840834227792,"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."}}