{"id":"W4414754236","doi":"10.37734/2409-6873-2025-3-26","title":"ПІДТРИМКА КАНАДОЮ УКРАЇНИ В ЇЇ БОРОТЬБІ ПРОТИ РОСІЙСЬКОЇ АГРЕСІЇ У 2014-2025 рр.","year":2025,"lang":"uk","type":"article","venue":"Scientific Bulletin of PUET Economic Sciences","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ukrainian; Sanctions; Context (archaeology); Politics; State (computer science); Process (computing)","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":[0.001469643,0.0002892193,0.0001712524,0.001356164,0.001618131,0.003388071,0.0004174013,0.0007675012,0.01892463],"category_scores_gemma":[0.002509,0.000267632,0.0003193071,0.001725301,0.001013774,0.0009346767,0.001147149,0.001523827,0.005051627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006088495,"about_ca_system_score_gemma":0.02151493,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2011042,"about_ca_topic_score_gemma":0.2221024,"domain_scores_codex":[0.9984824,0.0001901567,0.0000858085,0.0001154912,0.0008783955,0.0002477145],"domain_scores_gemma":[0.9991766,0.0001102003,0.00008503554,0.00004942971,0.0004504493,0.0001282263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002361139,0.00008384829,0.01230531,0.001608166,0.00007485253,0.001294595,0.006396435,0.002359265,0.006982372,0.3968595,0.1325633,0.4392363],"study_design_scores_gemma":[0.00000663143,0.00002691999,0.008733572,0.0002254529,0.00002079061,0.0002345012,0.001031812,0.0002829647,0.001584242,0.003744438,0.9840785,0.00003014309],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08261378,0.03623168,0.0225721,0.02041828,0.004870129,0.0005717574,0.005128904,0.0007117631,0.8268816],"genre_scores_gemma":[0.6054222,0.03901,0.02699006,0.003220728,0.0006800441,0.0003603919,0.004500316,0.000287434,0.3195288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7988958,"threshold_uncertainty_score":0.3998673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192232668479336,"score_gpt":0.2361876380238009,"score_spread":0.2242653113390075,"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."}}