{"id":"W4254012635","doi":"10.32689/2617-2224-2019-16-1-84-94","title":"ДОСЛІДЖЕННЯ ПОТЕНЦІАЛУ ФОРМУВАННЯ ДЕРЖАВНОЇ ПРОТЕКЦІОНІСТСЬКОЇ ПОЛІТИКИ ЩОДО АМАТОРСЬКОГО КІНОМИСТЕЦТВА","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":[0.002905655,0.0007093579,0.001206672,0.001567741,0.0002039492,0.0002028514,0.001954405,0.0009338558,0.0005923614],"category_scores_gemma":[0.0006604072,0.0007441858,0.0003137062,0.002817642,0.0020195,0.002195028,0.0001985194,0.0008426175,0.00009847373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000187523,"about_ca_system_score_gemma":0.001757938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001938825,"about_ca_topic_score_gemma":0.0007721131,"domain_scores_codex":[0.9938506,0.0002372056,0.002341333,0.001117221,0.00123572,0.001217895],"domain_scores_gemma":[0.997131,0.0005892286,0.000871501,0.0008906182,0.0002922193,0.0002253713],"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":[0.0001937195,0.001353739,0.08625063,0.002364947,0.0004031437,0.0000394741,0.00998097,0.002119649,0.02645782,0.8614962,0.0004181256,0.008921631],"study_design_scores_gemma":[0.0150638,0.03446293,0.4577348,0.007007889,0.0006985368,0.0004383286,0.08938793,0.1241708,0.1218243,0.09781018,0.03957438,0.01182624],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8794679,0.00115369,0.000134826,0.001614065,0.001223227,0.0007944107,0.00009313389,0.00018954,0.1153292],"genre_scores_gemma":[0.9964494,0.0003824547,0.002466952,0.00004817732,0.0001205279,0.00002754682,0.00003903709,0.00004462975,0.0004213032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.763686,"threshold_uncertainty_score":0.9995009,"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."}}