{"id":"W1932661436","doi":"10.18438/b8vk6n","title":"The Call for Evidence Based Practice: Speaking Louder than Words","year":2009,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.007856118,0.0001716597,0.0001578163,0.0001864543,0.002905461,0.0005777691,0.0004693897,0.0001536553,0.000193772],"category_scores_gemma":[0.05966678,0.0001192617,0.00005102656,0.0008230896,0.0001155507,0.2219587,0.00006623317,0.00077935,0.0001932349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008007335,"about_ca_system_score_gemma":0.003682839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000636027,"about_ca_topic_score_gemma":0.000001119576,"domain_scores_codex":[0.9957964,0.001590981,0.0008825333,0.0002504234,0.0007257847,0.0007538751],"domain_scores_gemma":[0.9527621,0.04504013,0.0008639103,0.0004562946,0.0004738506,0.0004037333],"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":[0.01347056,0.0003370363,0.006346047,0.002321871,0.00004008539,0.000008094817,0.01214523,0.0007620995,0.0001640214,0.2105192,0.4252093,0.3286765],"study_design_scores_gemma":[0.0004004475,0.0004803441,0.01622427,0.001402881,0.00002134369,0.000004142076,0.006571448,0.02057961,0.00008791043,0.0002000064,0.9538654,0.0001621835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002580306,0.002595558,0.02700851,0.9551862,0.001066463,0.002659152,0.0000115236,0.0001697079,0.008722501],"genre_scores_gemma":[0.3740701,0.008627588,0.0309657,0.583231,0.00110143,0.0005785605,0.00006216257,0.00001882976,0.001344596],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.5286561,"threshold_uncertainty_score":0.9983926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08929760279397983,"score_gpt":0.4642662548063451,"score_spread":0.3749686520123653,"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."}}