{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002249938,0.0008324434,0.000486531,0.001994437,0.004319246,0.01014391,0.001210365,0.002415631,0.05603908],"category_scores_gemma":[0.006647816,0.0006957939,0.0008378198,0.002094609,0.005498167,0.00692844,0.004105782,0.003546077,0.0217068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004496508,"about_ca_system_score_gemma":0.006953989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008141757,"about_ca_topic_score_gemma":0.008662929,"domain_scores_codex":[0.9965785,0.0009462849,0.0001811294,0.0005561667,0.001319003,0.0004187972],"domain_scores_gemma":[0.9969046,0.0007253516,0.0002480962,0.000508549,0.00120663,0.0004068429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007350371,0.00005943016,0.002089478,0.0002893732,0.00002584298,0.0005666852,0.006075434,0.000679862,0.002163084,0.8919501,0.030595,0.06543216],"study_design_scores_gemma":[0.00002602016,0.00004746831,0.003469079,0.0003620586,0.00003626422,0.0007197994,0.006009508,0.001020083,0.002312558,0.2492223,0.7366945,0.00008030781],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02542639,0.005336146,0.06940456,0.01683377,0.001591094,0.0002644237,0.00118507,0.0005783205,0.8793802],"genre_scores_gemma":[0.4862479,0.01094599,0.0920526,0.003293411,0.0009358092,0.000799045,0.001432037,0.001105379,0.4031879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05603908,"threshold_uncertainty_score":0.1874694,"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."}}