{"id":"W3148457967","doi":"10.29173/iasl7834","title":"School Library eBook Providers and Linguistic Equity","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":"Linguistic diversity; Purchasing; Diversity (politics); Equity (law); Population; Library science; Digital library; Computer science; Public relations; World Wide Web; Business; Sociology; Political science; Linguistics; Marketing","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.007351781,0.0001172715,0.0002910183,0.00313517,0.005485134,0.008788438,0.001247908,0.0009740415,0.02241458],"category_scores_gemma":[0.02571494,0.0002061115,0.000193916,0.00237924,0.005702235,0.009786339,0.007210569,0.001766139,0.001026235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004650724,"about_ca_system_score_gemma":0.005002959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02148884,"about_ca_topic_score_gemma":0.02386616,"domain_scores_codex":[0.9930935,0.002952995,0.0003185928,0.0005622089,0.001366965,0.001705754],"domain_scores_gemma":[0.9765129,0.009187515,0.004529325,0.0007485487,0.002874823,0.006146886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002665417,0.0009124427,0.3826533,0.0002849752,0.00006917677,0.001191572,0.1481396,0.0001722665,0.0005139203,0.2873996,0.0193826,0.1590141],"study_design_scores_gemma":[0.0001580335,0.0002445994,0.3044051,0.001487162,0.00009845671,0.001015275,0.4637913,0.0007592401,0.001057851,0.1059117,0.1209931,0.00007819468],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7955053,0.002167452,0.0009056852,0.04110318,0.00009955656,0.0000460983,0.0001288875,0.0000333988,0.1600104],"genre_scores_gemma":[0.9945325,0.0003091998,0.000112524,0.001057144,0.00003291538,0.0000128396,0.00001591575,0.000009504308,0.003917511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9912115,"threshold_uncertainty_score":0.07498431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02799443728090285,"score_gpt":0.3032030450082439,"score_spread":0.2752086077273411,"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."}}