{"id":"W3091000814","doi":"10.5195/jmla.2018.341","title":"Librarians collaborating to teach evidence-based practice: exploring partnerships with professional organizations","year":2018,"lang":"en","type":"article","venue":"Journal of the Medical Library Association JMLA","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health Canada; Canadian Health Libraries Association; Florida Department of Health; Association of Research Libraries; American Association of Colleges of Pharmacy; American Library Association","keywords":"Professional development; Professional association; Evidence-based practice; Knowledge management; Medical education; Library science; Public relations; Medicine; Computer science; Political science; Alternative medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007227466,0.0001105628,0.000224876,0.0001913071,0.001716986,0.0001036444,0.0007171661,0.0001905152,0.002306205],"category_scores_gemma":[0.08171076,0.00006234377,0.00004230089,0.003036831,0.00008674127,0.003758814,0.0001663311,0.001398675,0.0001517173],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004333937,"about_ca_system_score_gemma":0.01985452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008110651,"about_ca_topic_score_gemma":0.00001598644,"domain_scores_codex":[0.992418,0.003292497,0.0008814004,0.0001717589,0.002683596,0.0005527641],"domain_scores_gemma":[0.9882113,0.00742638,0.001376643,0.0002348327,0.001757011,0.0009938049],"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":[0.0003276649,0.0001994691,0.3563465,0.00007363822,0.00003813031,0.000007430495,0.007662061,0.00002801008,0.00008138872,0.001011486,0.6334938,0.0007304145],"study_design_scores_gemma":[0.001502478,0.001098661,0.1323156,0.005862346,0.00005750106,0.00001445511,0.02385877,0.000953429,0.0007159535,0.0003144314,0.8330569,0.0002494349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.239213,0.00006730722,0.001071191,0.7516773,0.005007486,0.0006986216,0.000008137397,0.00005260645,0.002204314],"genre_scores_gemma":[0.8968437,0.0001034933,0.01225126,0.06541511,0.01120375,0.0001345288,0.000009395661,0.00005077026,0.01398795],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6862622,"threshold_uncertainty_score":0.9995826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1833273421968092,"score_gpt":0.4603912545864302,"score_spread":0.277063912389621,"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."}}