{"id":"W2737467493","doi":"","title":"ЭФФЕКТИВНАЯ МОДЕЛЬ КУЛЬТУРНОЙ ПОЛИТИКИ КАНАДСКИЙ ОПЫТ ЦИФРОВЫХ БИБЛИОТЕК","year":2014,"lang":"ru","type":"article","venue":"Библиотечное дело","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002033416,0.0003718299,0.0002829104,0.001930038,0.002634088,0.007161649,0.0005702236,0.001039241,0.01524554],"category_scores_gemma":[0.004811997,0.0004510853,0.000331502,0.001803181,0.005043011,0.002412971,0.001939902,0.001985641,0.003775474],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003926177,"about_ca_system_score_gemma":0.006623499,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01810221,"about_ca_topic_score_gemma":0.02327846,"domain_scores_codex":[0.9974988,0.000401233,0.00009475467,0.0002963264,0.001427811,0.0002810891],"domain_scores_gemma":[0.998081,0.0005255808,0.0001865694,0.0002821308,0.0007744252,0.0001503168],"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":[0.00004594575,0.00003025947,0.001204613,0.0002056769,0.00002210556,0.0003223181,0.005006657,0.0005080706,0.003286319,0.8666497,0.007507823,0.1152104],"study_design_scores_gemma":[0.00002058016,0.00004120263,0.003985318,0.0003025828,0.00004074273,0.0006200222,0.003288411,0.0005823275,0.004448857,0.2013684,0.7852334,0.00006811823],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05788197,0.0248022,0.05317155,0.01385651,0.001475868,0.0001144401,0.0004899575,0.0003177317,0.8478897],"genre_scores_gemma":[0.8248425,0.01503471,0.03569335,0.0007221538,0.0005713661,0.000213105,0.0002131926,0.0002537318,0.1224558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9960738,"threshold_uncertainty_score":0.05100149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112128591700632,"score_gpt":0.1899975315424052,"score_spread":0.1788762456253989,"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."}}