{"id":"W3183458655","doi":"10.32689/2617-2224-2019-4(19)-205-216","title":"ДЕРЖАВНІ ПЕРСПЕКТИВИ ФІНАНСОВОЇ ПІДТРИМКИ ВІДНОВЛЕННЯ ВНУТРІШНІХ ВОДНИХ ШЛЯХІВ ЗАДЛЯ ВКЛЮЧЕННЯ РІЧКОВОГО ТРАНСПОРТУ В СИСТЕМУ МУЛЬТИМОДАЛЬНИХ ПЕРЕВЕЗЕНЬ","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":"Political 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","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003826231,0.00102505,0.001639912,0.002004908,0.000341899,0.0003404218,0.002703534,0.001309013,0.000952438],"category_scores_gemma":[0.001075482,0.001080653,0.0004716819,0.003591233,0.002647394,0.002906454,0.0003624599,0.00123395,0.0001503904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002671386,"about_ca_system_score_gemma":0.002216069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000319891,"about_ca_topic_score_gemma":0.001503828,"domain_scores_codex":[0.991694,0.0003573442,0.002967159,0.00156096,0.001750123,0.001670378],"domain_scores_gemma":[0.9958428,0.0008827585,0.001170937,0.001305266,0.0004525533,0.0003456803],"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":[0.0003876473,0.002256589,0.1433585,0.003132209,0.0007209765,0.00009574535,0.01443159,0.003314369,0.02205257,0.7758331,0.0009951029,0.03342162],"study_design_scores_gemma":[0.01861967,0.03941432,0.391435,0.007972346,0.001075927,0.000567168,0.07816504,0.1428394,0.1238235,0.1130299,0.06728163,0.01577612],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8612493,0.00193427,0.000153229,0.002550149,0.002011613,0.00102022,0.0001340014,0.0002864163,0.1306608],"genre_scores_gemma":[0.994828,0.0007740718,0.003375919,0.00007363844,0.0001938861,0.00004581635,0.00007682424,0.00007133826,0.0005605085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6628032,"threshold_uncertainty_score":0.9999875,"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."}}