{"id":"W4409986311","doi":"10.52726/as.humanities/2025.1.10","title":"КАНАДСЬКІ ПОЛІТИЧНІ КАРИКАТУРИ ЯК МЕДІЙНИЙ ІНСТРУМЕНТ ЗАСУДЖЕННЯ РОСІЙСЬКОЇ АГРЕСІЇ ПРОТИ УКРАЇНИ","year":2025,"lang":"uk","type":"article","venue":"АКАДЕМІЧНІ СТУДІЇ СЕРІЯ «ГУМАНІТАРНІ НАУКИ»","topic":"Military, Security, and Education Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"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":[0.005201309,0.0007469414,0.0004474464,0.002688337,0.004518921,0.01674049,0.001088699,0.00273317,0.02992851],"category_scores_gemma":[0.01009813,0.0007422475,0.0007910493,0.002866909,0.01001835,0.009920893,0.004752396,0.004310032,0.01009642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006334109,"about_ca_system_score_gemma":0.01069238,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01002354,"about_ca_topic_score_gemma":0.01186234,"domain_scores_codex":[0.9932341,0.002123818,0.0003765507,0.00110971,0.002452699,0.0007031094],"domain_scores_gemma":[0.9950544,0.001561281,0.0004206311,0.0006904351,0.001735549,0.0005377816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000481381,0.00004395598,0.002580778,0.0002850548,0.00003102512,0.0002001588,0.00597188,0.0004471012,0.0009267546,0.898529,0.0272317,0.06370447],"study_design_scores_gemma":[0.0000216561,0.00004129303,0.004007755,0.0004832786,0.0000425116,0.0002662513,0.006938225,0.0005500406,0.001129393,0.2476211,0.7388316,0.00006679078],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01839045,0.01124856,0.03965524,0.03793452,0.002354644,0.000200736,0.0007034943,0.00033885,0.8891735],"genre_scores_gemma":[0.6091341,0.01810751,0.0570269,0.007435658,0.002124055,0.0006596004,0.0007801943,0.0006497534,0.3040822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9899765,"threshold_uncertainty_score":0.1001208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03560308425393459,"score_gpt":0.3669273575522934,"score_spread":0.3313242732983588,"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."}}