{"id":"W4409699399","doi":"10.22215/cujs.v3i2.5121","title":"Inroads for Russian Influence in the Media Landscapes of Neighboring States","year":2025,"lang":"en","type":"article","venue":"Carleton undergraduate journal of science.","topic":"Sociopolitical Dynamics in Russia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Economic geography; Political science; Geography","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":[0.001511784,0.0001546688,0.0002297064,0.001567795,0.006413854,0.007881996,0.000409232,0.0007669638,0.003589788],"category_scores_gemma":[0.003191497,0.0001808973,0.0001874125,0.001020069,0.007618314,0.003919691,0.004938946,0.001252159,0.0001996031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00192154,"about_ca_system_score_gemma":0.001136384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005051385,"about_ca_topic_score_gemma":0.01042269,"domain_scores_codex":[0.9985029,0.0009297917,0.00003494543,0.0001557565,0.0001383328,0.0002382802],"domain_scores_gemma":[0.9980596,0.0009880973,0.0003155088,0.0002071416,0.0001420158,0.0002875657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002611454,0.00005520547,0.05496184,0.000143652,0.00005041187,0.002201422,0.5402234,0.0005076964,0.005198816,0.3361015,0.005849226,0.05444568],"study_design_scores_gemma":[0.00002158086,0.0001035684,0.1050311,0.0002573938,0.00007635466,0.001028019,0.7390661,0.0006389062,0.002283427,0.02560948,0.1258372,0.00004696454],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8607926,0.0008580013,0.0009894341,0.005514903,0.00008472434,0.000009942913,0.0000682222,0.00003197086,0.1316501],"genre_scores_gemma":[0.9990999,0.00008688801,0.0000620928,0.00006070599,0.00001096499,0.000002031121,0.000006689855,0.000004945319,0.0006657359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007881996,"threshold_uncertainty_score":0.01394176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01272250220839106,"score_gpt":0.34146386401228,"score_spread":0.328741361803889,"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."}}