{"id":"W7103251276","doi":"","title":"ÐÐ¡ÐÐÐ¢Ð ÐÐ ÐÐÐ ÐÐÐÐÐ Ð¢Ð ÐÐ ÐÐÐÐÐÐ ÐÐ¡ÐÐÐ¢Ð¯ÐÐ¡Ð¬ÐÐÐ ÐÐÐÐ£ÐÐ","year":2012,"lang":"ru","type":"other","venue":"Bulletin of the National Aviation University (National Aviation University, Kiev, Ukraine)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Government (linguistics); Identification (biology); Product (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006448501,0.000209058,0.0001660103,0.001876139,0.001969686,0.003481306,0.0003813472,0.00130747,0.08517749],"category_scores_gemma":[0.001593866,0.0001288437,0.0001596036,0.003539546,0.0008124584,0.001471877,0.001069675,0.0009473216,0.01397915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00317527,"about_ca_system_score_gemma":0.005060873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03929609,"about_ca_topic_score_gemma":0.09923296,"domain_scores_codex":[0.9992415,0.0001422772,0.00004344148,0.0000704909,0.0003474955,0.0001547869],"domain_scores_gemma":[0.9986564,0.0003123738,0.0001599293,0.00006778325,0.0004710375,0.0003324622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006020828,0.0001243814,0.009042355,0.000996722,0.00000817197,0.0004537322,0.002071019,0.0002223925,0.001460266,0.06739955,0.5455372,0.372624],"study_design_scores_gemma":[0.00000369052,0.00001752136,0.02008876,0.0001323105,0.000003147375,0.0001349,0.00126331,0.00004533548,0.0002660617,0.0008613566,0.9771757,0.000007818943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03457907,0.02836214,0.0014139,0.04925767,0.003223829,0.0001293978,0.002577194,0.0004592837,0.8799976],"genre_scores_gemma":[0.09730481,0.02180196,0.002037364,0.001693678,0.0009539328,0.00004881395,0.001797549,0.0001563045,0.8742055],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9148225,"threshold_uncertainty_score":0.284947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01967973532712936,"score_gpt":0.2144005360046154,"score_spread":0.1947208006774861,"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."}}