{"id":"W277907011","doi":"","title":"Секреты исследователей рынка при работе с вторичной информацией: в помощь маркетологу-аналитику промышленного предприятия","year":2008,"lang":"ru","type":"article","venue":"","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada Health Infoway","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001123838,0.0003557861,0.0002819475,0.001480892,0.001622116,0.004118657,0.0005598512,0.0009447037,0.01348411],"category_scores_gemma":[0.00303208,0.0004238439,0.0002450728,0.001640768,0.002732683,0.001881742,0.001171239,0.001126826,0.003223107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001794881,"about_ca_system_score_gemma":0.004113884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004999978,"about_ca_topic_score_gemma":0.005952314,"domain_scores_codex":[0.9981755,0.0004706979,0.00007559339,0.0002254934,0.0008803924,0.0001723053],"domain_scores_gemma":[0.9987566,0.0004154813,0.0001294619,0.0002303773,0.0003910463,0.00007705224],"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":[0.00003156451,0.00003307466,0.0009275217,0.0001220387,0.00001209668,0.000209786,0.003255943,0.0005653282,0.00390704,0.9061226,0.004143051,0.08066996],"study_design_scores_gemma":[0.00003290466,0.00008560594,0.003716481,0.0002148639,0.0000525205,0.001171679,0.004792474,0.001590284,0.009445103,0.2996221,0.6792001,0.00007585358],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1166276,0.01057157,0.1037906,0.006553827,0.0007950524,0.0001818159,0.0003725451,0.0003205251,0.7607865],"genre_scores_gemma":[0.8144087,0.007312201,0.07699082,0.0003423358,0.0002428571,0.0003710771,0.0002060506,0.0001449352,0.09998099],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01348411,"threshold_uncertainty_score":0.0451088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341712680048559,"score_gpt":0.1917005036848017,"score_spread":0.1782833768843161,"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."}}