{"id":"W4401596164","doi":"10.1080/03612112.2024.2372203","title":"Pursuing Equity, Diversity, and Inclusion in Collection Development","year":2024,"lang":"en","type":"article","venue":"Dress","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Inclusion (mineral); Diversity (politics); Political science; Sociology; Gender studies; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006417512,0.00002667334,0.00003125575,0.0001249069,0.002834543,0.0001843933,0.0001420772,0.00002551363,0.00006315744],"category_scores_gemma":[0.00002064319,0.00002474925,0.000006604521,0.000405714,0.00004701267,0.003911171,0.007618317,0.00004295462,0.00001328563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007294343,"about_ca_system_score_gemma":0.00009422077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004476779,"about_ca_topic_score_gemma":0.0001806565,"domain_scores_codex":[0.9994301,0.00002530276,0.00007653984,0.00007230003,0.0002888987,0.000106867],"domain_scores_gemma":[0.9998856,0.00003157226,0.00001088374,0.00002260579,0.00001090602,0.00003843284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002749892,0.000009563762,0.01316338,0.00002580482,0.000001808149,0.000005179932,0.8253875,0.000005636585,0.00002240282,0.04043803,0.001274376,0.1196636],"study_design_scores_gemma":[0.0002718651,0.00002906633,0.07627627,0.0002745875,0.000003190689,0.000001913275,0.01529231,0.003266057,0.0005861411,0.02778805,0.8759443,0.0002662558],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9196387,0.0001288856,0.0000839671,0.002619819,0.0004080035,0.00009203906,5.28578e-7,0.00005794094,0.07697015],"genre_scores_gemma":[0.9978242,0.00004915526,0.0001154747,0.0004071511,0.00003671074,0.00000178083,0.000001780685,9.45559e-7,0.001562813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8746699,"threshold_uncertainty_score":0.9984636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04551060560937911,"score_gpt":0.3399674584868095,"score_spread":0.2944568528774304,"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."}}