{"id":"W2098601018","doi":"10.1046/j.1471-1842.2002.00373.x","title":"Evidence‐based librarianship: one small step","year":2002,"lang":"en","type":"article","venue":"Health Information & Libraries Journal","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Computer science; Data science; World Wide Web; Information retrieval","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":[0.1155392,0.002132005,0.00197995,0.005577148,0.006725161,0.02472567,0.005873613,0.01673499,0.01276658],"category_scores_gemma":[0.1731037,0.001670803,0.00206357,0.002681691,0.01612599,0.04089856,0.02976282,0.03083949,0.005299785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005977766,"about_ca_system_score_gemma":0.0328557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001794751,"about_ca_topic_score_gemma":0.002678013,"domain_scores_codex":[0.9289598,0.04043835,0.005892417,0.00382785,0.01856242,0.00231914],"domain_scores_gemma":[0.6903178,0.2176092,0.006468335,0.02702741,0.0341613,0.02441595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004400899,0.0008133524,0.002419006,0.01103812,0.0004927815,0.001628178,0.007846504,0.0003447661,0.001989719,0.1722573,0.3155926,0.4851378],"study_design_scores_gemma":[0.0002077268,0.0007920068,0.001507429,0.01238458,0.0002257676,0.001799551,0.006445406,0.0005249854,0.001384644,0.1236541,0.850913,0.0001608478],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003889046,0.1038201,0.01973775,0.8161364,0.02944055,0.0008897876,0.0001139019,0.0005611429,0.02541122],"genre_scores_gemma":[0.1499151,0.1429582,0.1612201,0.4788644,0.03205414,0.002479447,0.0004430116,0.0008408544,0.03122474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1155392,"threshold_uncertainty_score":0.6110369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.503576226915782,"score_gpt":0.4410448196131548,"score_spread":0.06253140730262718,"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."}}