{"id":"W1500722466","doi":"10.3163/1536-5050.100.2.008","title":"Provision of pandemic disease information by health sciences librarians: a multisite comparative case series","year":2012,"lang":"en","type":"article","venue":"Journal of the Medical Library Association JMLA","topic":"Library Science and Administration","field":"Social Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Medical Library Association","keywords":"Pandemic; Best practice; Information needs; Health care; Public relations; Computer science; Knowledge management; World Wide Web; Coronavirus disease 2019 (COVID-19); Medicine; Political science; Infectious disease (medical specialty); Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003213491,0.00008382159,0.0002187526,0.00009156211,0.0006613286,0.0002051753,0.0004616688,0.00009586952,0.0002537537],"category_scores_gemma":[0.001377992,0.00005319201,0.0001167719,0.0006585299,0.0003304614,0.02017048,0.00007384174,0.0002478815,0.00000620749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008095061,"about_ca_system_score_gemma":0.001868182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005426792,"about_ca_topic_score_gemma":0.00001273653,"domain_scores_codex":[0.9963884,0.0008974082,0.0006988018,0.0000661115,0.001669518,0.0002797807],"domain_scores_gemma":[0.9972963,0.0004323275,0.001599051,0.00007643372,0.00006907175,0.0005268118],"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":[0.0001013428,0.0002714981,0.8299127,0.00004008095,0.00003835408,0.000007920617,0.03628975,0.00001641316,0.00002156139,0.01307361,0.1145616,0.005665187],"study_design_scores_gemma":[0.002495123,0.001078273,0.1468759,0.00100103,0.0001008811,0.0003698246,0.06333205,0.0008379203,0.001242054,0.007454159,0.7745902,0.0006226439],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8920678,0.001105946,0.000240979,0.1004742,0.001726655,0.0004467054,0.00009647792,0.00004676626,0.003794414],"genre_scores_gemma":[0.9958571,0.0003031694,0.0004002207,0.002103737,0.0004292717,0.0000020542,0.000009961082,0.000002982479,0.0008915021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6830368,"threshold_uncertainty_score":0.9935339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02818651854583786,"score_gpt":0.3303511818604338,"score_spread":0.302164663314596,"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."}}