{"id":"W4255490537","doi":"10.18438/b8nw91","title":"Call for Applicants: Evidence Based Library and Information Practice Evidence Summaries Writers","year":2017,"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":"Computer science; World Wide Web; Information retrieval; Library 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.03414164,0.001785169,0.003502403,0.005857175,0.00514746,0.01253882,0.004322793,0.04309135,0.3141387],"category_scores_gemma":[0.1265465,0.001898527,0.00419911,0.003334781,0.002150108,0.01003091,0.01052663,0.01744768,0.1807252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002775514,"about_ca_system_score_gemma":0.01626507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0015412,"about_ca_topic_score_gemma":0.005158055,"domain_scores_codex":[0.9808496,0.005010637,0.003899451,0.001171207,0.006859242,0.002209861],"domain_scores_gemma":[0.8079245,0.03768966,0.01041152,0.00977096,0.07814401,0.05605938],"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":[0.00007479451,0.00003629314,0.00009600472,0.0003641729,0.000008640804,0.0001206606,0.00002472537,0.000008867337,0.00009981635,0.0002368522,0.9888086,0.01012054],"study_design_scores_gemma":[0.0002615276,0.0001211497,0.001351257,0.001786427,0.00004081222,0.0002090416,0.000421826,0.00008920297,0.0001180388,0.002361599,0.9931716,0.0000675002],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0006705633,0.005000732,0.001292367,0.6752065,0.2768035,0.002764386,0.001578731,0.000973762,0.0357095],"genre_scores_gemma":[0.004273196,0.005490056,0.004040993,0.587659,0.185408,0.003370302,0.002225594,0.0007259952,0.2068069],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3141387,"threshold_uncertainty_score":0.9782978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0982147879234023,"score_gpt":0.4413959024940011,"score_spread":0.3431811145705987,"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."}}