{"id":"W4308210354","doi":"10.1079/cabionehealth.2022.0007","title":"Guidance for evaluating integrated surveillance of antimicrobial use and resistance","year":2022,"lang":"en","type":"article","venue":"CABI One Health","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"Medical Research Council","keywords":"Flexibility (engineering); Computer science; Strengths and weaknesses; Key (lock); Resistance (ecology); Process management; Data science; Knowledge management; Usability; Management science; Risk analysis (engineering); Engineering; Business; Computer security; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3606377,0.004225863,0.002518367,0.02544292,0.00317502,0.01238487,0.006862446,0.006000486,0.006010343],"category_scores_gemma":[0.5288461,0.001517412,0.004085077,0.01149097,0.003770194,0.009564986,0.0094589,0.00398862,0.00294063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01712389,"about_ca_system_score_gemma":0.03822957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0135156,"about_ca_topic_score_gemma":0.01930372,"domain_scores_codex":[0.4920133,0.3829791,0.05017985,0.004612033,0.06601603,0.004199588],"domain_scores_gemma":[0.3235698,0.4088773,0.0364145,0.02249676,0.2015794,0.00706228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009770625,0.00187514,0.01507159,0.01161488,0.0003084292,0.00124779,0.04968369,0.009261473,0.006027179,0.02683388,0.1040497,0.7730492],"study_design_scores_gemma":[0.001071116,0.004632689,0.03963215,0.07193577,0.0008699439,0.001577082,0.07980012,0.04377724,0.02016942,0.0673994,0.6679014,0.001233558],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.103941,0.008409214,0.6211172,0.05901447,0.002207801,0.06299721,0.007424659,0.008674033,0.1262144],"genre_scores_gemma":[0.0736536,0.002022065,0.899725,0.001867358,0.0001033481,0.01794516,0.001617939,0.0003212918,0.002744145],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3606377,"threshold_uncertainty_score":0.7884475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08844886836822828,"score_gpt":0.3701791440336037,"score_spread":0.2817302756653754,"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."}}