{"id":"W2035888730","doi":"10.1046/j.1365-2532.20.s1.12.x","title":"Facilitating evidence‐based librarianship: a Canadian experience","year":2003,"lang":"en","type":"article","venue":"Health Information & Libraries Journal","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Library science; MEDLINE; Medicine; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04275253,0.0007225461,0.0008891472,0.004721879,0.03614008,0.0143036,0.005653326,0.004965752,0.00755374],"category_scores_gemma":[0.05172648,0.001206077,0.0008076128,0.01327687,0.009874338,0.005960249,0.01380931,0.005716126,0.001029875],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1115489,"about_ca_system_score_gemma":0.3677342,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9441808,"about_ca_topic_score_gemma":0.9794561,"domain_scores_codex":[0.9652094,0.0121034,0.001931636,0.001626099,0.01347141,0.005657973],"domain_scores_gemma":[0.9057799,0.02215596,0.002155994,0.002020137,0.02875573,0.03913219],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005629306,0.001257798,0.01845505,0.002501087,0.0001092709,0.00833561,0.5660614,0.0005086525,0.002481205,0.01321463,0.1174274,0.2690849],"study_design_scores_gemma":[0.000154283,0.0002713511,0.01828216,0.000826436,0.00004404324,0.001458361,0.2319675,0.0002503913,0.0006815631,0.001151181,0.7447388,0.000173969],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4441167,0.06243934,0.005743357,0.2421279,0.003502544,0.001747553,0.001090181,0.0008242501,0.2384082],"genre_scores_gemma":[0.866805,0.04262484,0.01917968,0.02521241,0.0003261926,0.0003707425,0.0006384887,0.0003933101,0.04444921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9572475,"threshold_uncertainty_score":0.8093474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3137676324158682,"score_gpt":0.4709300430741909,"score_spread":0.1571624106583227,"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."}}