{"id":"W4404776869","doi":"10.33137/ijidi.v8i2.43633","title":"Public Libraries for Immigrant Communities","year":2024,"lang":"en","type":"article","venue":"The International Journal of Information Diversity & Inclusion (IJIDI)","topic":"Library Science and Administration","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Immigration; Political science; Sociology; Geography; Library science; Computer science; Archaeology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001713888,0.0000646468,0.00007897319,0.0002666314,0.002432896,0.001183571,0.001486529,0.00004710088,0.0003059636],"category_scores_gemma":[0.0002196466,0.00004461145,0.000138902,0.0002051709,0.0002474178,0.01102464,0.001220772,0.0001516395,0.00003231161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001220818,"about_ca_system_score_gemma":0.0005772142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004891324,"about_ca_topic_score_gemma":0.0002323207,"domain_scores_codex":[0.9983752,0.00007861044,0.000335649,0.000033898,0.001051774,0.0001248685],"domain_scores_gemma":[0.9986496,0.0003885637,0.0002446451,0.00007103422,0.0005758744,0.0000703066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001364247,0.00004016639,0.001686509,0.00001559669,0.0001168763,0.00000574696,0.2957652,0.00008233856,0.00004012003,0.6232781,0.04829145,0.03054149],"study_design_scores_gemma":[0.0002981509,0.00009161112,0.0007335644,0.00009021372,0.00001961864,0.00001816884,0.06618284,0.001452198,0.0002556395,0.04217124,0.8885854,0.0001013163],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5532799,0.0006617818,0.02440191,0.3729538,0.009453539,0.0005654119,0.0001509208,0.0001827887,0.03834987],"genre_scores_gemma":[0.996326,0.0002900039,0.0004378894,0.002066926,0.0004080192,0.000001246159,0.00003202011,0.000002031617,0.0004359203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.840294,"threshold_uncertainty_score":0.9998533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06055990209044838,"score_gpt":0.2913116843816486,"score_spread":0.2307517822912002,"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."}}