{"id":"W2921518451","doi":"10.18438/eblip29448","title":"Relevance of a French National Database Dedicated to Infection Prevention and Control (NosoBase®): A Three-Step Quality Evaluation of a Specialized Bibliographic Database","year":2019,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Health, Medicine and Society","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Documentation; Scope (computer science); Relevance (law); Quality (philosophy); Usability; Strengths and weaknesses; Bibliographic database; Computer science; Control (management); Grey literature; Database; World Wide Web; MEDLINE; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.426617,0.001310712,0.00616108,0.0499578,0.004663615,0.01636333,0.003666177,0.002447021,0.005198894],"category_scores_gemma":[0.655539,0.00163578,0.006037367,0.04355888,0.00335815,0.005551165,0.008745532,0.001662699,0.0009917378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01856246,"about_ca_system_score_gemma":0.05466918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01775927,"about_ca_topic_score_gemma":0.02163725,"domain_scores_codex":[0.4463743,0.1980718,0.2171674,0.01396671,0.1213437,0.003076024],"domain_scores_gemma":[0.2013008,0.3336106,0.08782246,0.05264556,0.3180258,0.006594853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006486155,0.0009615329,0.2261268,0.2020466,0.01372897,0.0005685962,0.02208887,0.001923548,0.004685672,0.01360652,0.03777545,0.4700012],"study_design_scores_gemma":[0.005542634,0.004824224,0.4859059,0.1478678,0.0292764,0.00110168,0.01435493,0.008656703,0.01280426,0.00513243,0.2835188,0.001014351],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3890873,0.1227304,0.1106317,0.02597854,0.003896517,0.2003243,0.1008691,0.003788771,0.04269334],"genre_scores_gemma":[0.568908,0.01172648,0.2515201,0.003663301,0.0005760968,0.1186657,0.04223063,0.0006568442,0.002052777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9500422,"threshold_uncertainty_score":0.7070833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08276300605321353,"score_gpt":0.4424924343473078,"score_spread":0.3597294282940943,"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."}}