{"id":"W3169538190","doi":"10.32689/2617-2224-2020-5(25)-84-94","title":"ДОСВІД РЕАЛІЗАЦІЇ МЕХАНІЗМІВ ВПЛИВУ ГРОМАДЯНСЬКОГО СУСПIЛЬСТВА НА ДЕРЖАВНЕ РЕГУЛЮВАННЯ ПРАВООХОРОННОЇ ДIЯЛЬНОСТI У СУЧАСНІЙ УКРАЇНІ","year":2020,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002504453,0.0008122734,0.0005074745,0.002178745,0.004267758,0.01082445,0.001322447,0.002467668,0.05663959],"category_scores_gemma":[0.008647023,0.0007311838,0.0008073804,0.00188691,0.00700168,0.006820882,0.003836895,0.003319033,0.01733111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004789536,"about_ca_system_score_gemma":0.007006904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01024863,"about_ca_topic_score_gemma":0.008879686,"domain_scores_codex":[0.9961883,0.0009468472,0.000215215,0.00078999,0.001393246,0.0004663658],"domain_scores_gemma":[0.9962351,0.001013234,0.0003181573,0.000677346,0.00134748,0.0004088082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006816673,0.00004513196,0.001968351,0.0002265694,0.00002932298,0.0003990633,0.00531691,0.0006620965,0.002291414,0.9254352,0.01641937,0.04713833],"study_design_scores_gemma":[0.00003506387,0.00005550701,0.005407607,0.0003613924,0.00005271557,0.0005768639,0.007258173,0.001522298,0.003592905,0.3723163,0.6087255,0.0000955966],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0263678,0.003569657,0.08066385,0.01366398,0.001142214,0.0002283396,0.0009157597,0.0005341953,0.8729141],"genre_scores_gemma":[0.5525246,0.005910331,0.09170178,0.003047323,0.0007049667,0.000811363,0.001100231,0.001038649,0.3431608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05663959,"threshold_uncertainty_score":0.1894783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04389647847746644,"score_gpt":0.2869763972786737,"score_spread":0.2430799188012072,"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."}}