{"id":"W6949514941","doi":"10.5281/zenodo.1288926","title":"Виборчі Системи Для Проведення Місцевих Виборів: Досвід Країн Вишеградської Групи","year":2018,"lang":"uk","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Education, Psychology, and Complexity Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cytodiagnostics (Canada)","funders":"","keywords":"Czech; Process (computing); Democracy; Local government; Electoral system","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003784321,0.0007033679,0.0007251278,0.0008861144,0.007287132,0.002615904,0.004238209,0.0004892046,0.1628521],"category_scores_gemma":[0.00317677,0.0007788442,0.0002960665,0.002125171,0.002220246,0.0006326155,0.002982528,0.001449836,0.1022692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005686373,"about_ca_system_score_gemma":0.000078292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001783261,"about_ca_topic_score_gemma":0.00001801754,"domain_scores_codex":[0.9914434,0.002198036,0.001177858,0.001689659,0.001568103,0.001922977],"domain_scores_gemma":[0.9919929,0.0002719993,0.0005043826,0.002709724,0.00356482,0.0009561612],"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":[0.0002128238,0.001540669,0.00002536991,0.0004057771,0.0003084568,0.00002794448,0.01010542,0.000001465461,0.00316882,0.05519293,0.8416826,0.08732776],"study_design_scores_gemma":[0.001511679,0.001460911,0.0008335041,0.0002110266,0.0001084137,0.0003744367,0.003731793,0.0005901354,0.0007737363,0.0114383,0.9781559,0.0008101396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09194801,0.001072627,0.007138259,0.01069972,0.002953376,0.00295944,0.001040551,0.002567908,0.8796201],"genre_scores_gemma":[0.8977099,0.001774731,0.003401615,0.001317753,0.009037723,0.00000106996,0.003389747,0.008170538,0.07519694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8057619,"threshold_uncertainty_score":0.9994662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1636455406130121,"score_gpt":0.3737716330468139,"score_spread":0.2101260924338018,"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."}}