{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001996902,0.001125993,0.001396864,0.000404913,0.003486975,0.0006212224,0.001707513,0.0007920825,0.00440484],"category_scores_gemma":[0.003048572,0.0009729461,0.0008025815,0.003783477,0.001881353,0.0003638935,0.000933012,0.001002104,0.02267828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003785072,"about_ca_system_score_gemma":0.0008133895,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007442101,"about_ca_topic_score_gemma":0.00485425,"domain_scores_codex":[0.991311,0.000626981,0.001343916,0.001760959,0.002079527,0.00287759],"domain_scores_gemma":[0.9954945,0.00130093,0.0005723753,0.001007695,0.0006977427,0.0009267754],"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":[0.0001456185,0.0004808216,0.005794321,0.0003782861,0.001037004,0.0006668245,0.233005,0.0000383458,0.0005138428,0.06115576,0.6662225,0.03056167],"study_design_scores_gemma":[0.00119037,0.0002832018,0.01406708,0.0003619792,0.0003289566,0.00001185317,0.04536409,0.0002099362,0.0001239371,0.007456162,0.9290384,0.001564014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2246576,0.008453839,0.00002152229,0.02989463,0.02491747,0.002087003,0.000635194,0.002805403,0.7065274],"genre_scores_gemma":[0.7695824,0.003650982,0.0002260439,0.001523752,0.009886107,0.0001241585,0.0001178422,0.0001404427,0.2147483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5449247,"threshold_uncertainty_score":0.9992721,"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."}}