{"id":"W4389815149","doi":"10.18438/eblip30325","title":"Experiences of Visible Minority Librarians and Students in Canada from the ViMLoC Mentorship Program","year":2023,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Université du Québec à Montréal; Université de Montréal; Université Laval; Wilfrid Laurier University; University of Ottawa; Library and Archives Canada","funders":"","keywords":"Mentorship; Helpfulness; Medical education; Psychology; Session (web analytics); Medicine; Social psychology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009433089,0.00008788433,0.0001074368,0.0001130677,0.0003352795,0.0008118878,0.0004599152,0.00004344185,0.0002423879],"category_scores_gemma":[0.001057749,0.00006637815,0.00001562667,0.001255564,0.0001827362,0.4157061,0.0001314218,0.0001262204,0.00001057053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001851657,"about_ca_system_score_gemma":0.001397642,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1256149,"about_ca_topic_score_gemma":0.000865044,"domain_scores_codex":[0.998226,0.0003550411,0.0004428909,0.0001123764,0.0006494536,0.0002141757],"domain_scores_gemma":[0.996977,0.002429896,0.0002899911,0.000152725,0.00003069954,0.0001196661],"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":[0.000340513,0.00009175178,0.4444885,0.0001332449,0.00002444492,0.000006979528,0.254071,0.0001039261,0.000005587627,0.2080207,0.02019303,0.07252026],"study_design_scores_gemma":[0.0002167499,0.00006219886,0.2216097,0.0001346376,0.000006010036,4.47187e-7,0.2227827,0.001868349,0.0001537936,0.0001827663,0.5528612,0.0001214603],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9095745,0.0003549187,0.0000129581,0.08296012,0.0002953259,0.000646501,0.00002067924,0.0000985788,0.006036384],"genre_scores_gemma":[0.9533226,0.001801677,0.0006405925,0.04386498,0.00006664572,0.00009091214,0.00004739654,0.000002760995,0.0001623752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5326681,"threshold_uncertainty_score":0.8802077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01970366870076133,"score_gpt":0.3022273483827903,"score_spread":0.282523679682029,"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."}}