{"id":"W4290469760","doi":"10.5281/zenodo.1288927","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":"Chemistry","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":[0.002450367,0.0009584087,0.0005902897,0.002291185,0.004470699,0.0112699,0.001480986,0.002716331,0.05260686],"category_scores_gemma":[0.00827418,0.0008015877,0.0009114072,0.00205498,0.007971805,0.00802369,0.004248037,0.003515333,0.01706417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004422325,"about_ca_system_score_gemma":0.007115309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008189304,"about_ca_topic_score_gemma":0.007658619,"domain_scores_codex":[0.9957568,0.001084567,0.0002361599,0.0008737879,0.001543351,0.0005053885],"domain_scores_gemma":[0.9962132,0.0009569584,0.0003724872,0.0007042085,0.001303612,0.0004494791],"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":[0.00007693569,0.00005187472,0.001728365,0.0003009682,0.00002907578,0.0004649062,0.005642709,0.0006926636,0.002670398,0.9243402,0.01663218,0.04736963],"study_design_scores_gemma":[0.0000358236,0.00006181781,0.004214577,0.0004236023,0.00005418779,0.0006614621,0.007733453,0.001678183,0.003927362,0.3947062,0.5863996,0.0001037177],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02902398,0.005293369,0.09506622,0.01555294,0.001632747,0.0002417229,0.0009771255,0.0006713187,0.8515407],"genre_scores_gemma":[0.5776224,0.007921512,0.1020086,0.003248664,0.0008752537,0.0007761088,0.001096403,0.001246883,0.3052041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05260686,"threshold_uncertainty_score":0.1759874,"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."}}