{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.00124636,0.001339716,0.001228186,0.001055575,0.001223005,0.003507191,0.003722586,0.0007383834,0.002666725],"category_scores_gemma":[0.0006931624,0.001316231,0.0006499153,0.004033075,0.0005031603,0.004359683,0.002053605,0.001028519,0.007921039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003094056,"about_ca_system_score_gemma":0.0009008008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001263455,"about_ca_topic_score_gemma":0.00005721284,"domain_scores_codex":[0.9911354,0.0006327005,0.00166728,0.00236583,0.00196594,0.002232838],"domain_scores_gemma":[0.9944714,0.0008621715,0.000708797,0.002293911,0.0003950987,0.001268674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003330252,0.001372656,0.02021003,0.0004964297,0.0006294638,0.0002454972,0.007814566,0.0004075673,0.0006070014,0.09810086,0.4310757,0.4387072],"study_design_scores_gemma":[0.002166563,0.0006596528,0.02015555,0.0003035296,0.00007121931,0.0001224227,0.0002479756,0.02692107,0.002801478,0.009485168,0.9349414,0.002123962],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1201139,0.002642651,0.05106387,0.008916168,0.009955438,0.001556116,0.00007726596,0.002780117,0.8028944],"genre_scores_gemma":[0.8652782,0.0002234966,0.005444016,0.004367352,0.001852423,0.00008864552,0.0000756305,0.0001730917,0.1224972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7451642,"threshold_uncertainty_score":0.9999354,"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."}}