{"id":"W4383748169","doi":"10.5195/jmla.2023.1663","title":"Health sciences library workshops in the COVID era: librarian perceptions and decision making","year":2023,"lang":"en","type":"article","venue":"Journal of the Medical Library Association JMLA","topic":"Library Science and Administration","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Library science; Medical library; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); MEDLINE; World Wide Web; Computer science; Data science; Medicine; Political 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006108327,0.00009108134,0.0001982352,0.0002422207,0.001391922,0.0009323063,0.001210433,0.0001514961,0.0006283554],"category_scores_gemma":[0.002586055,0.00005137718,0.0001158203,0.002790946,0.0003632895,0.006090601,0.0001838203,0.000586766,0.00001523719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005438568,"about_ca_system_score_gemma":0.00260959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001155601,"about_ca_topic_score_gemma":0.00004757379,"domain_scores_codex":[0.9955027,0.001363834,0.000584264,0.0001613609,0.002029747,0.0003581156],"domain_scores_gemma":[0.996255,0.002775869,0.000591609,0.0001131961,0.00001513145,0.0002491709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002886143,0.00008940663,0.5517243,0.00001022952,0.0000127853,0.000033015,0.01687625,0.00006660024,0.000001903848,0.03599549,0.3455006,0.04966057],"study_design_scores_gemma":[0.0004793999,0.0001516602,0.7261438,0.0004373828,0.000009771589,0.00003378353,0.01735509,0.0005837569,0.000002261284,0.09624023,0.1584115,0.0001513456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3497166,0.0002277992,0.00006127159,0.6412883,0.001008465,0.0001915102,0.000007943685,0.0000596394,0.00743845],"genre_scores_gemma":[0.9715189,0.001556254,0.0009355485,0.02357555,0.001124394,0.000003355616,0.000004165951,0.00000896627,0.00127287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6218023,"threshold_uncertainty_score":0.9999081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03214023676878434,"score_gpt":0.3485993895307871,"score_spread":0.3164591527620027,"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."}}