{"id":"W4241929085","doi":"10.18438/b8260f","title":"Congratulations to the UK North West Clinical Librarian Systematic Review and Evaluation Group","year":2012,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Group (periodic table); Computer 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":[],"consensus_categories":[],"category_scores_codex":[0.04836347,0.001996476,0.004024001,0.004898188,0.002375745,0.006280324,0.004949698,0.01312896,0.05725171],"category_scores_gemma":[0.1876208,0.001720294,0.002920459,0.003251593,0.002163181,0.008695389,0.007596233,0.0158138,0.05170629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006173598,"about_ca_system_score_gemma":0.01556369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01667662,"about_ca_topic_score_gemma":0.03936804,"domain_scores_codex":[0.9818261,0.005851001,0.004079902,0.001465646,0.005615303,0.001162136],"domain_scores_gemma":[0.7723153,0.05635193,0.02355232,0.007000795,0.1145773,0.02620227],"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":[0.00008962856,0.00001319525,0.00008494598,0.0003535083,0.00002604375,0.00004189676,0.00003708496,0.00001596391,0.0000366024,0.0001308962,0.9928912,0.006278931],"study_design_scores_gemma":[0.0002317281,0.00007957606,0.001197026,0.002451827,0.00008917936,0.0002109641,0.0002759121,0.00009084362,0.00009664601,0.001323237,0.9938798,0.00007328283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001639006,0.02447204,0.0007205266,0.7826068,0.1881073,0.0005029101,0.001073767,0.0001741652,0.002178573],"genre_scores_gemma":[0.002698564,0.01985017,0.004227574,0.7913712,0.1278097,0.00255781,0.00145998,0.0003201579,0.04970475],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05725171,"threshold_uncertainty_score":0.2557735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1790944917603361,"score_gpt":0.5049489389826793,"score_spread":0.3258544472223432,"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."}}