{"id":"W2475113696","doi":"","title":"IFLA: könyvtári egyetemesség egy megosztott világban","year":2003,"lang":"hu","type":"article","venue":"Műszaki könyvtárosok tájékoztatója/Tudományos és műszaki tájékoztatás","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statute; Political science; Library science; Quarter (Canadian coin); Subject (documents); Public relations; Computer science; Law; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.001329563,0.0005125233,0.000537941,0.001119934,0.001994903,0.006249196,0.0007626587,0.002321378,0.1200061],"category_scores_gemma":[0.001596001,0.000258097,0.0002512546,0.001255955,0.0007843105,0.003303537,0.003029845,0.002140834,0.07368528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002354949,"about_ca_system_score_gemma":0.003847119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003893487,"about_ca_topic_score_gemma":0.002510773,"domain_scores_codex":[0.9992489,0.0001028468,0.00005037704,0.0001282995,0.0002339561,0.0002355415],"domain_scores_gemma":[0.9992334,0.000083614,0.00007838046,0.00005643498,0.0002486803,0.0002994609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005230997,0.0002217606,0.003643278,0.0008000502,0.0000171997,0.002430199,0.003619772,0.0002790787,0.003409694,0.03404833,0.6284044,0.3226031],"study_design_scores_gemma":[0.000009201058,0.00001916066,0.002696164,0.0001051125,0.000003713914,0.000465091,0.0006178528,0.00004819543,0.0006544825,0.0007550813,0.9946162,0.000009800885],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06564555,0.07902726,0.00730265,0.06894822,0.01853595,0.0002658268,0.006558106,0.00585611,0.7478603],"genre_scores_gemma":[0.1516633,0.01853928,0.004574665,0.004736627,0.001358907,0.000192249,0.004171885,0.00181501,0.8129482],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1200061,"threshold_uncertainty_score":0.4014603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03647195012943,"score_gpt":0.3185596148054631,"score_spread":0.2820876646760331,"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."}}