{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004385586,0.0007320896,0.0004627725,0.001810439,0.002006111,0.003725726,0.0008534864,0.00153446,0.2766522],"category_scores_gemma":[0.001374299,0.0003227718,0.0004605163,0.001406206,0.0007178443,0.002792873,0.00213863,0.002726784,0.1621039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001932851,"about_ca_system_score_gemma":0.001904204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003120336,"about_ca_topic_score_gemma":0.004870825,"domain_scores_codex":[0.9996119,0.0000535176,0.00002287317,0.00008422296,0.0001728014,0.00005472831],"domain_scores_gemma":[0.9993956,0.0001275141,0.00002747161,0.0000537325,0.0002692268,0.0001264012],"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":[0.000007755034,0.00002334047,0.00007230724,0.0001175756,7.432378e-7,0.00005049949,0.0002096226,0.0000460388,0.000172975,0.01297925,0.927754,0.0585659],"study_design_scores_gemma":[3.999121e-7,0.000003465847,0.00007137102,0.00005655812,2.651354e-7,0.00003205937,0.00003984431,0.00000624021,0.00002129988,0.0007243486,0.9990433,9.243374e-7],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.0009103975,0.01539466,0.00197082,0.01200212,0.04465109,0.000205354,0.001410577,0.0005686624,0.9228864],"genre_scores_gemma":[0.002491911,0.00646373,0.0006325578,0.002521976,0.006238077,0.00009090586,0.001064038,0.0002331724,0.9802637],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.2766522,"threshold_uncertainty_score":0.9254938,"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."}}