{"id":"W4249176856","doi":"10.32689/2617-2224-2019-17-2-124-135","title":"ДЕРЖАВНА ПОЛІТИКА ТА АКТИВІЗАЦІЯ ЇЇ ФУНКЦІЙ У РОЗВИТКУ ТВАРИННИЦТВА","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":"Psychology","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":[0.002269338,0.0005266962,0.0009013258,0.001185859,0.0001514249,0.0001552634,0.00151355,0.0007102465,0.0004576207],"category_scores_gemma":[0.0004992074,0.0005444601,0.0002350297,0.002154759,0.001706202,0.001802894,0.0001398349,0.0006380103,0.00006889744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001405715,"about_ca_system_score_gemma":0.001484041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001903338,"about_ca_topic_score_gemma":0.0008386785,"domain_scores_codex":[0.9953526,0.0001701762,0.001749173,0.000854895,0.0009479154,0.0009252466],"domain_scores_gemma":[0.9978603,0.0004602238,0.0006187031,0.0006827271,0.0002149158,0.0001631126],"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":[0.0001440135,0.00094801,0.09955835,0.00141927,0.0002270239,0.00002643488,0.008288734,0.001509347,0.01860523,0.8576095,0.0004030478,0.011261],"study_design_scores_gemma":[0.01434192,0.03449579,0.4214008,0.005226452,0.0004825786,0.0003828457,0.06784476,0.1467853,0.125829,0.1245008,0.0486943,0.01001536],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8716341,0.0008922208,0.0001235342,0.001662431,0.00105532,0.0005822168,0.00006148942,0.0001400085,0.1238487],"genre_scores_gemma":[0.9967721,0.0002521437,0.002443139,0.00003743119,0.00009019669,0.00001966294,0.00003195471,0.00002949747,0.0003239505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7331088,"threshold_uncertainty_score":0.9997007,"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."}}