{"id":"W4385309750","doi":"10.31558/2519-2949.2023.2.9","title":"Державне регулювання передвиборної кампанії у соціальних медіа (сучасна практика іноземних країн)","year":2023,"lang":"uk","type":"article","venue":"Політичне життя","topic":"Ukrainian Cultural and Linguistic Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montenegro; Legislation; Popularity; Politics; Political science; Social media; Legislature; State (computer science); Czech; Law; Sociology; Ethnology","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":[0.002423747,0.0004624772,0.0002934039,0.002702708,0.001638387,0.005540296,0.0004886537,0.0011823,0.02944754],"category_scores_gemma":[0.005946248,0.0006025433,0.0005791362,0.002669737,0.003019333,0.002662815,0.001504891,0.002168646,0.01232443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00168812,"about_ca_system_score_gemma":0.00324924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004387087,"about_ca_topic_score_gemma":0.006637726,"domain_scores_codex":[0.9972624,0.0006819266,0.0001632828,0.0004147547,0.001257975,0.0002196821],"domain_scores_gemma":[0.9969167,0.001235587,0.0003541198,0.0005060877,0.0008194536,0.0001681467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001393569,0.00008074933,0.004368354,0.001048468,0.00005703624,0.001201754,0.00548491,0.0009979175,0.01191984,0.5417926,0.02380022,0.4091088],"study_design_scores_gemma":[0.00002553559,0.00006020126,0.008090026,0.0005597625,0.00006274022,0.001135238,0.002419273,0.0004684405,0.005729229,0.07671326,0.9046577,0.00007861076],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06859873,0.03699461,0.1130712,0.008566188,0.002203719,0.0004368757,0.001874411,0.0006562574,0.7675981],"genre_scores_gemma":[0.6979306,0.04331001,0.09271092,0.001027174,0.001030747,0.0006704134,0.001148747,0.0006188342,0.1615525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02944754,"threshold_uncertainty_score":0.09851187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1207147481739179,"score_gpt":0.3956453764959311,"score_spread":0.2749306283220132,"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."}}