{"id":"W4408149222","doi":"10.24917/20811861.22.47","title":"Inteligentne metadane dla polskich instytucji kultury. Analiza zagranicznej literatury przedmiotu","year":2025,"lang":"pl","type":"article","venue":"Annales Universitatis Paedagogicae Cracoviensis | Studia ad Bibliothecarum Scientiam Pertinentia","topic":"Management and Organizational Practices","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatoon Medical Imaging","funders":"","keywords":"Sociology","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","bibliometrics","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","bibliometrics","insufficient_payload"],"category_scores_codex":[0.002035446,0.00157466,0.00155616,0.01366931,0.003203526,0.004699779,0.002680732,0.0004943779,0.006794844],"category_scores_gemma":[0.001332687,0.001505943,0.001001939,0.037178,0.0009028817,0.008695556,0.003199216,0.0008949535,0.002084646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002624184,"about_ca_system_score_gemma":0.0005138444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006108128,"about_ca_topic_score_gemma":0.00094426,"domain_scores_codex":[0.9909833,0.0004069216,0.001767494,0.002727813,0.002159494,0.001954953],"domain_scores_gemma":[0.9924799,0.0005544851,0.001809339,0.00147224,0.003445265,0.0002387648],"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":[0.00089613,0.002753564,0.0570551,0.002823882,0.005910889,0.0005813702,0.002850464,0.0002007727,0.00472689,0.06229011,0.8473569,0.01255396],"study_design_scores_gemma":[0.002458147,0.000123245,0.05602718,0.00088704,0.004157044,0.000009365636,0.007755324,0.00161398,0.0002696423,0.0007091289,0.9242654,0.001724465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2647772,0.1525425,0.007339797,0.09604062,0.01683214,0.006819503,0.0007706507,0.00189185,0.4529858],"genre_scores_gemma":[0.8905137,0.01095502,0.0008989334,0.01013859,0.0007304493,0.00002125783,0.0008350358,0.0001414196,0.08576556],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6257365,"threshold_uncertainty_score":0.9997001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02245862546014965,"score_gpt":0.278662071367867,"score_spread":0.2562034459077173,"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."}}