{"id":"W3140661038","doi":"10.29173/iasl7545","title":"Carnegie Revitalisation of Public Libraries in Africa","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporation; Disadvantaged; Political science; Economic growth; Library science; Public administration; Economics","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":[0.004296794,0.0003378018,0.0002013348,0.00225077,0.009532155,0.009372611,0.0008897934,0.003138277,0.02439507],"category_scores_gemma":[0.008263876,0.0003348384,0.0002614918,0.002783554,0.003228891,0.00511668,0.0082032,0.002513414,0.002025145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01006421,"about_ca_system_score_gemma":0.02746477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0406589,"about_ca_topic_score_gemma":0.1022033,"domain_scores_codex":[0.9971355,0.0008799324,0.0001107733,0.0001762066,0.0004607502,0.001236814],"domain_scores_gemma":[0.993023,0.001656339,0.0006243318,0.0004958173,0.001317448,0.002883076],"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":[0.0001578096,0.0001899349,0.005568939,0.001105364,0.00001911985,0.002992853,0.02920656,0.000552827,0.001817221,0.259974,0.4595661,0.238849],"study_design_scores_gemma":[0.000009886302,0.00003159977,0.003309402,0.0001615963,0.0000030406,0.0002253742,0.006354492,0.00003171943,0.00039019,0.0011747,0.9882973,0.00001062539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1548026,0.04233129,0.001584697,0.2906828,0.004125574,0.0004080042,0.0003354329,0.0003071825,0.5054225],"genre_scores_gemma":[0.4916608,0.02456719,0.003074624,0.01610103,0.001283391,0.0002636141,0.0001913847,0.0001560913,0.4627018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0406589,"threshold_uncertainty_score":0.08160967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1017469245534698,"score_gpt":0.3010247087010445,"score_spread":0.1992777841475747,"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."}}