{"id":"W1939766539","doi":"10.18438/b8p902","title":"Evidence Based Practice: Science? Or Art?","year":2011,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Problem and Project Based Learning","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0268477,0.001264985,0.003751869,0.004443677,0.002337262,0.008929777,0.003736483,0.01061285,0.04008812],"category_scores_gemma":[0.1658137,0.0007300812,0.001542663,0.005313301,0.00704337,0.01079128,0.005412277,0.0107455,0.01544394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005512413,"about_ca_system_score_gemma":0.01219205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003787465,"about_ca_topic_score_gemma":0.006127286,"domain_scores_codex":[0.9779012,0.01036331,0.002861115,0.001603002,0.006697492,0.0005738281],"domain_scores_gemma":[0.851144,0.09297995,0.007118257,0.004784307,0.03881784,0.005155691],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00059743,0.00009796273,0.0003965781,0.0499334,0.000338306,0.0001535914,0.000236786,0.0002082796,0.0002643892,0.0339205,0.607999,0.3058538],"study_design_scores_gemma":[0.0001480134,0.0001742151,0.001028713,0.1092992,0.0004944619,0.000375678,0.001179763,0.0002935902,0.0002925391,0.05764086,0.8289669,0.0001061319],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.0001701841,0.5705822,0.001480234,0.296248,0.1187702,0.00009624841,0.0003213967,0.00005528805,0.01227627],"genre_scores_gemma":[0.01482131,0.7228476,0.003168862,0.1403294,0.1006499,0.000457406,0.0004897147,0.00009262949,0.01714318],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9731523,"threshold_uncertainty_score":0.141986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05954888208378583,"score_gpt":0.3326944135607192,"score_spread":0.2731455314769334,"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."}}