{"id":"W3209492902","doi":"10.51731/cjht.2021.180","title":"Celebrating Medical Librarians During Canadian Library Month","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Library science; Work (physics); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Medical library; Political science; Public relations; Medicine; Engineering; Computer science; Virology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009688577,0.0009735359,0.0009179697,0.005401241,0.03470564,0.02123398,0.00302761,0.006085475,0.08957064],"category_scores_gemma":[0.01286754,0.0007982741,0.0007246517,0.009537608,0.00578205,0.004043403,0.00996204,0.006227304,0.02198655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06015123,"about_ca_system_score_gemma":0.1189611,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8311982,"about_ca_topic_score_gemma":0.9611641,"domain_scores_codex":[0.9842606,0.001478969,0.0003777832,0.0007795522,0.008971986,0.004131125],"domain_scores_gemma":[0.9602099,0.001119172,0.0009245831,0.0006391177,0.01079551,0.02631176],"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":[0.00001528965,0.0000156175,0.0003578984,0.00004283181,0.000003266168,0.00007046406,0.0006770165,0.000004571559,0.00006263815,0.0008474243,0.9906673,0.007235534],"study_design_scores_gemma":[0.000002645245,0.000004993103,0.001578553,0.00003560736,0.000001998408,0.00002783342,0.001658531,0.000004139396,0.00003168785,0.00006164798,0.9965821,0.00001032276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.007192379,0.03283115,0.0003896073,0.5232411,0.07564215,0.0002149974,0.002899486,0.0009618273,0.3566273],"genre_scores_gemma":[0.0469042,0.01720102,0.001058686,0.1272595,0.01723091,0.0001441387,0.001953834,0.0006295004,0.7876182],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1688018,"threshold_uncertainty_score":0.4364298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05334930675110122,"score_gpt":0.3290886376424987,"score_spread":0.2757393308913975,"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."}}