{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002991955,0.0003381484,0.00028298,0.002906919,0.01039652,0.01051275,0.0009811774,0.002472302,0.07544195],"category_scores_gemma":[0.009126378,0.0002115414,0.0005631885,0.003540942,0.001646627,0.007396409,0.012047,0.001757636,0.009619627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003731435,"about_ca_system_score_gemma":0.03451105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006100617,"about_ca_topic_score_gemma":0.02086843,"domain_scores_codex":[0.9984483,0.0006654014,0.00007916397,0.00007874697,0.0003448817,0.0003835079],"domain_scores_gemma":[0.9909344,0.001637416,0.0007853021,0.0005019823,0.0020127,0.0041282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007421083,0.0003170004,0.008621967,0.003099261,0.00002665607,0.001405484,0.02109099,0.00008062297,0.0007316598,0.05080869,0.325067,0.5886764],"study_design_scores_gemma":[0.00002329626,0.0000649856,0.00592411,0.002958134,0.00002457529,0.001137495,0.04226975,0.00004608126,0.0003034042,0.007266475,0.9399627,0.00001898079],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1058453,0.07858144,0.002061407,0.2182116,0.007018215,0.0004762388,0.000988005,0.0007643278,0.5860535],"genre_scores_gemma":[0.5877498,0.1017267,0.01175426,0.04836294,0.004136018,0.0006645407,0.001196221,0.0003127415,0.2440968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9894872,"threshold_uncertainty_score":0.2523785,"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."}}