{"id":"W2994863154","doi":"","title":"О чем молчит детектор лжи","year":2019,"lang":"ru","type":"article","venue":"Менеджмент сегодня","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Resverlogix (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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003508383,0.0006467788,0.0007182021,0.0002904866,0.0001567607,0.00008510635,0.0008221383,0.0009731005,0.007638221],"category_scores_gemma":[0.00005944775,0.0006908225,0.0002894061,0.0005282724,0.0002068564,0.0004390586,0.0001849088,0.00120606,0.01664894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001541395,"about_ca_system_score_gemma":0.0001134244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001753054,"about_ca_topic_score_gemma":0.00008609563,"domain_scores_codex":[0.9970927,0.00007168361,0.00063314,0.0007387924,0.0003653491,0.001098376],"domain_scores_gemma":[0.9980922,0.0001544284,0.00008362427,0.00139664,0.00007974393,0.0001933088],"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":[0.0002481678,0.0004851032,0.02180182,0.002690518,0.00157832,0.0004903142,0.004668683,0.01397219,0.01878841,0.7922333,0.1079937,0.03504944],"study_design_scores_gemma":[0.006306685,0.001903287,0.05700777,0.001290867,0.0004421658,0.0002678728,0.009404725,0.04529748,0.008553949,0.1118274,0.7516317,0.006066123],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4885047,0.01345337,0.000349947,0.001053774,0.003640143,0.0006192118,0.00009428008,0.001498194,0.4907863],"genre_scores_gemma":[0.9815381,0.001192287,0.0007049951,0.0001805458,0.0003335614,0.00002869207,0.00004404605,0.0001100648,0.01586775],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6804059,"threshold_uncertainty_score":0.9995543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004986866747217948,"score_gpt":0.1844889734154996,"score_spread":0.1795021066682816,"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."}}