{"id":"W2782125772","doi":"10.29173/slw6933","title":"School Libraries and Librarianship in Germany: Opportunities and Outliers","year":2017,"lang":"en","type":"article","venue":"School Libraries Worldwide","topic":"Education Methods and Technologies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"School library; Library science; Sociology; Mathematics education; Computer science; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.008835417,0.00142161,0.001516436,0.006061565,0.003062156,0.01090706,0.002217007,0.010248,0.00752179],"category_scores_gemma":[0.03548537,0.000622723,0.0009502491,0.004735362,0.003665747,0.00430252,0.002085206,0.008302937,0.002444807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002195916,"about_ca_system_score_gemma":0.00334632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002598759,"about_ca_topic_score_gemma":0.006359866,"domain_scores_codex":[0.994691,0.0007613873,0.0006024198,0.0006153021,0.002717274,0.0006126614],"domain_scores_gemma":[0.9420525,0.03716296,0.003854034,0.001164823,0.01129002,0.004475711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000239091,0.0000102056,0.0001624689,0.0001492413,0.00001426003,0.0001290603,0.0001023602,0.00001424343,0.00002190088,0.0007705979,0.993524,0.005077845],"study_design_scores_gemma":[0.00003501665,0.00002883197,0.003173389,0.001170803,0.00008294819,0.000267224,0.0009583471,0.0001354295,0.0001553741,0.001388147,0.9925754,0.00002922837],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.0009827778,0.007422951,0.0001028934,0.1411509,0.8467597,0.00001594033,0.000319019,0.00005147693,0.003194399],"genre_scores_gemma":[0.009582463,0.005843941,0.0001268049,0.02815231,0.9499025,0.00002574842,0.0001081216,0.00005370752,0.006204363],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01090706,"threshold_uncertainty_score":0.0467267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08773491468498561,"score_gpt":0.3410859913201981,"score_spread":0.2533510766352124,"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."}}