{"id":"W4366271010","doi":"10.29173/slw8510","title":"School Library eBook Providers and Spanish Language Equity:","year":2023,"lang":"en","type":"article","venue":"School Libraries Worldwide","topic":"Educational Practices and Policies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"School library; Equity (law); Library science; Population; Political science; Sociology; Computer science; Demography","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":[0.007670544,0.0001943158,0.0003998284,0.003439825,0.001143182,0.003821917,0.0009684252,0.0004787972,0.00822495],"category_scores_gemma":[0.03574424,0.0001526894,0.00032161,0.005390373,0.002007644,0.003392793,0.002819548,0.001274588,0.0005449381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003579584,"about_ca_system_score_gemma":0.004885232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06347248,"about_ca_topic_score_gemma":0.07809881,"domain_scores_codex":[0.9952335,0.001994491,0.0003768804,0.000472942,0.001149196,0.0007729916],"domain_scores_gemma":[0.9495152,0.02367395,0.01431173,0.002162249,0.008080824,0.002255974],"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":[0.0001629912,0.0001976754,0.9084951,0.0002380685,0.0000591996,0.0002255228,0.05397158,0.00006514,0.0002611334,0.004508965,0.001358081,0.03045639],"study_design_scores_gemma":[0.00001832266,0.00007793056,0.8352809,0.000315447,0.00006256464,0.000132825,0.15257,0.0001475626,0.0004977693,0.001214168,0.009663219,0.00001940955],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853139,0.0005471011,0.0003185148,0.001311699,0.00001253278,0.0000299014,0.0003525975,0.000005584402,0.01210815],"genre_scores_gemma":[0.9981633,0.0002459007,0.0001873524,0.0002368259,0.00001919482,0.00003121414,0.0001829806,0.000009313184,0.0009240233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06347248,"threshold_uncertainty_score":0.126206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03053645392442426,"score_gpt":0.3386354699151118,"score_spread":0.3080990159906876,"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."}}