{"id":"W4390233372","doi":"10.1007/978-3-031-44584-2_14","title":"Introduction to the Special Section","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"European and Russian Geopolitical Military Strategies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Declaration; Political science; Section (typography); Aggression; Special section; Law; Psychology; Engineering; Social psychology; Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005121568,0.0001172421,0.0001080031,0.00007105587,0.0005028687,0.00007969319,0.0001922145,0.0001314498,0.008692246],"category_scores_gemma":[0.0001392942,0.00007820505,0.00008863091,0.00006179072,0.0002446719,0.00005819285,0.00004487621,0.0002574942,0.01501844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001146002,"about_ca_system_score_gemma":0.0001154345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000562335,"about_ca_topic_score_gemma":0.0100139,"domain_scores_codex":[0.9989066,0.00005062116,0.0001460525,0.000261764,0.0004107281,0.0002241966],"domain_scores_gemma":[0.9995298,0.00005898919,0.00002477314,0.0001952775,0.00008211011,0.0001090205],"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":[0.000002474534,8.44948e-7,7.721651e-8,0.000001442942,0.000005526438,0.000001592819,0.0005170684,0.000001366617,1.056156e-7,0.5645635,0.433669,0.001236994],"study_design_scores_gemma":[0.00001415229,0.0000292548,0.00004555853,0.00000799489,0.00001025304,5.010718e-7,0.001205888,2.276394e-7,3.652212e-7,0.07115851,0.9274235,0.000103824],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002457016,0.00001462278,0.00001848607,0.04499434,0.009960023,0.0002196995,0.000008055226,0.0001991554,0.9445832],"genre_scores_gemma":[0.00005563751,0.0001261037,0.00001692828,0.0003397229,0.1982313,0.000001831723,0.000005878274,0.00001900036,0.8012036],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4937545,"threshold_uncertainty_score":0.992214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02714640372343212,"score_gpt":0.2657991792363821,"score_spread":0.23865277551295,"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."}}