{"id":"W2470650984","doi":"10.1016/s0140-6736(16)31079-0","title":"UN High-Level Meeting on antimicrobials—what do we need?","year":2016,"lang":"en","type":"article","venue":"The Lancet","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Scopus; Antibiotic resistance; Government (linguistics); Political science; Medicine; Accountability; Antimicrobial; Library science; Family medicine; MEDLINE; Antibiotics; Computer science; Biology; Microbiology; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.02828034,0.002367069,0.004330019,0.002280167,0.006630439,0.02005298,0.005263428,0.04434913,0.04054855],"category_scores_gemma":[0.09056997,0.001574905,0.003055608,0.00200846,0.007578198,0.02872217,0.01216419,0.05410569,0.01813325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009647328,"about_ca_system_score_gemma":0.04187438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01437115,"about_ca_topic_score_gemma":0.02333999,"domain_scores_codex":[0.9766604,0.009089438,0.002240292,0.001481951,0.00444058,0.006087425],"domain_scores_gemma":[0.8070697,0.04154161,0.01081373,0.003404599,0.02661102,0.1105593],"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":[0.0002765939,0.0002199895,0.002054392,0.001626967,0.0001416689,0.0002529144,0.0003942602,0.0001187027,0.0003778367,0.005916968,0.9081843,0.08043537],"study_design_scores_gemma":[0.0003684856,0.0002563443,0.008298007,0.01054243,0.0002025062,0.000416614,0.006607727,0.0002423503,0.0001701712,0.02889653,0.9436886,0.0003103968],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001655182,0.01961398,0.0001617335,0.9626067,0.01594786,0.000008273608,0.00008238935,0.00005294212,0.001360599],"genre_scores_gemma":[0.008441005,0.03028571,0.000955215,0.9069011,0.05003949,0.0001067864,0.0003246071,0.00007517411,0.002870969],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04434913,"threshold_uncertainty_score":0.1495625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02303329790986615,"score_gpt":0.2360209287038481,"score_spread":0.212987630793982,"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."}}