{"id":"W4253861283","doi":"10.32689/2617-2224-2019-16-1-180-194","title":"ПАРЛАМЕНТСЬКА ОПОЗИЦІЯ. ЄВРОПЕЙСЬКИЙ ДОСВІД ДЛЯ УКРАЇНИ","year":2019,"lang":"uk","type":"article","venue":"UKRAINIAN ASSEMBLY OF DOCTORS OF SCIENCES IN PUBLIC ADMINISTRATION","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Computer science","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"],"consensus_categories":[],"category_scores_codex":[0.002189921,0.0004711927,0.0008222625,0.001088188,0.0001320315,0.000132531,0.001392618,0.0006539839,0.000420814],"category_scores_gemma":[0.0004444381,0.0004897572,0.0002068173,0.002034262,0.001528398,0.001679053,0.0001220059,0.0005574672,0.00005680274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000115564,"about_ca_system_score_gemma":0.001130268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009888078,"about_ca_topic_score_gemma":0.0005586556,"domain_scores_codex":[0.9957565,0.0001524693,0.001624673,0.0007666533,0.0008681542,0.0008315205],"domain_scores_gemma":[0.9980785,0.0004005246,0.0005654336,0.0006182405,0.0001943281,0.0001429876],"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":[0.0001150653,0.0008721794,0.09952923,0.001349565,0.0002015528,0.00002248948,0.008096213,0.001429775,0.01863197,0.8585537,0.0003117568,0.01088652],"study_design_scores_gemma":[0.012018,0.03287071,0.4389224,0.00512914,0.0004266015,0.0003459144,0.1010421,0.1416325,0.1225763,0.09674256,0.03896766,0.00932613],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8674849,0.0008133305,0.0001006878,0.001499038,0.0009824788,0.0005035604,0.00005306138,0.0001220113,0.1284409],"genre_scores_gemma":[0.9971793,0.0002505346,0.00210642,0.0000303911,0.00007505574,0.000015515,0.00002321647,0.0000260356,0.0002935373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7618111,"threshold_uncertainty_score":0.9997554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02263486865370148,"score_gpt":0.2783439392003582,"score_spread":0.2557090705466567,"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."}}