{"id":"W4394197481","doi":"10.6084/m9.figshare.20552239.v1","title":"Additional file 2 of Global antimicrobial resistance: a system-wide comprehensive investigation using the Global One Health Index","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Index (typography); Antibiotic resistance; Antimicrobial; Computer science; Data mining; Information retrieval; Biology; World Wide Web; Microbiology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001715417,0.001064654,0.00115998,0.002800137,0.0007029246,0.002198234,0.00196666,0.001626912,0.581104],"category_scores_gemma":[0.01939953,0.0006669899,0.001247346,0.006397252,0.0003589236,0.002126884,0.001592051,0.001552836,0.1299655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586527,"about_ca_system_score_gemma":0.002522025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02471622,"about_ca_topic_score_gemma":0.03156122,"domain_scores_codex":[0.9989549,0.0001798537,0.0001985342,0.0003154349,0.0001761063,0.0001751896],"domain_scores_gemma":[0.9899154,0.005982497,0.0009720455,0.0008960682,0.001738755,0.0004953845],"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":[0.00008962573,0.00002515444,0.002032544,0.00114784,0.00003346575,0.00001930141,0.00002096525,0.0002615317,0.00002260932,0.0004457543,0.9939473,0.001953888],"study_design_scores_gemma":[0.002397886,0.0001161423,0.03224318,0.003117027,0.000186858,0.0001926257,0.0003484234,0.0009555378,0.0002705537,0.005195494,0.954888,0.00008811532],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003636842,0.000007542882,0.00001930337,0.00003000633,0.000004791476,0.000008519032,0.9996763,0.00002407986,0.0001930045],"genre_scores_gemma":[0.001332908,0.0000481258,0.0003477732,0.0001571906,0.00002297496,0.0002699073,0.9963154,0.00008413693,0.001421576],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.581104,"threshold_uncertainty_score":0.5975043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03123556346655484,"score_gpt":0.2588737078281264,"score_spread":0.2276381443615715,"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."}}