{"id":"W3127749945","doi":"10.29173/iasl7609","title":"Contribution of Public Libraries in Germany and the Nordic Countries towards Digital Education and Training","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Internet; German; Digital library; Digital literacy; Training (meteorology); Information literacy; Literacy; Political science; Library science; Public relations; Business; World Wide Web; Sociology; Computer science; Pedagogy; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0006197273,0.00007015502,0.0001443908,0.00007800174,0.0002522717,0.001376251,0.0001370951,0.00005448905,0.00004598674],"category_scores_gemma":[0.001054391,0.0000527338,0.00001765994,0.0003805403,0.0009887039,0.0180334,0.00007436202,0.00008654593,0.000001809859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001302164,"about_ca_system_score_gemma":0.001167734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008807363,"about_ca_topic_score_gemma":0.00001200918,"domain_scores_codex":[0.9991682,0.00002571905,0.0002400885,0.0001295249,0.0002459036,0.0001906257],"domain_scores_gemma":[0.9989738,0.00008985693,0.0001244306,0.00003379918,0.00070195,0.00007613296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001087578,0.0000108019,0.02153874,0.00001469033,0.00000264116,1.260896e-7,0.4271078,1.446772e-8,0.000004005665,0.52934,0.0001106204,0.02185967],"study_design_scores_gemma":[0.0006863381,0.0000378821,0.08265208,0.0001059787,0.00000629687,0.00001040279,0.7750935,0.000194414,0.0001595842,0.05007692,0.09081291,0.0001636898],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653878,0.0004928024,0.00004002366,0.02027601,0.00007995603,0.0001427087,0.00001688189,0.00002238577,0.01354141],"genre_scores_gemma":[0.9982563,0.0002740429,0.00005690519,0.0008776782,0.00005710176,0.00001338896,0.000009668844,0.000001914254,0.0004529657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4792631,"threshold_uncertainty_score":0.9996604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02196069480558757,"score_gpt":0.2707159463874085,"score_spread":0.2487552515818209,"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."}}