{"id":"W3131144167","doi":"10.33137/ijidi.v5i1.33938","title":"Diversity and inclusion in libraries","year":2021,"lang":"en","type":"article","venue":"The International Journal of Information Diversity & Inclusion (IJIDI)","topic":"Library Science and Administration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Diversity (politics); Inclusion (mineral); Library science; Sociology; Political science; Computer science; Anthropology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009096746,0.0005098206,0.001335099,0.00615499,0.00105183,0.005001231,0.0008659764,0.001724192,0.04185755],"category_scores_gemma":[0.003810546,0.0003113618,0.0005075974,0.01128699,0.0009183025,0.002611188,0.001780094,0.00179454,0.01201873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002417785,"about_ca_system_score_gemma":0.005684783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007813622,"about_ca_topic_score_gemma":0.01917206,"domain_scores_codex":[0.9990583,0.0001769707,0.00005529881,0.00006684587,0.0005519286,0.00009070055],"domain_scores_gemma":[0.9979371,0.0008319282,0.0001485606,0.000051693,0.000789322,0.0002414546],"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":[0.00002297879,0.00006326925,0.0001987326,0.00382469,0.00003039315,0.00007519451,0.0002643514,0.00009974773,0.0000863751,0.003728447,0.75393,0.2376758],"study_design_scores_gemma":[0.000006962819,0.00001741031,0.0006538035,0.003099642,0.00002022285,0.0001316111,0.000245581,0.000016554,0.00003042423,0.001186574,0.9945821,0.000009182335],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0003650389,0.946005,0.0001170171,0.0132583,0.008510634,0.00003112983,0.0001825435,0.00003138437,0.03149894],"genre_scores_gemma":[0.002284901,0.9196065,0.0002499706,0.006620206,0.007683141,0.00004686111,0.0002035001,0.00002116323,0.06328384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9949988,"threshold_uncertainty_score":0.1400274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02310648667547823,"score_gpt":0.2647833615240792,"score_spread":0.241676874848601,"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."}}