{"id":"W3136014250","doi":"10.2139/ssrn.3746925","title":"Global Antibiotic Consumption in Humans, 2000 to 2018: A Spatial Modelling Study","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Discovery Centre","funders":"","keywords":"Consumption (sociology); Antibiotics; Intensive care medicine; Medicine; Geography; Biology; Microbiology; Sociology; Social science","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":[0.0006554405,0.0005177159,0.0005243159,0.0007113653,0.0002354043,0.0007635393,0.0009986208,0.0008994597,0.002604824],"category_scores_gemma":[0.001572841,0.0004401034,0.002157499,0.001764359,0.0003637917,0.0007406383,0.0009982098,0.0005846443,0.000556603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001185462,"about_ca_system_score_gemma":0.0009884466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1768228,"about_ca_topic_score_gemma":0.115628,"domain_scores_codex":[0.9997515,0.00009540039,0.00001761693,0.00006568847,0.00001702444,0.00005268721],"domain_scores_gemma":[0.9992377,0.0003919892,0.0001446886,0.00008264384,0.00007553423,0.00006748848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001029579,0.0004526841,0.5711024,0.0002687889,0.002023701,0.0006866003,0.0009965164,0.401371,0.0006769239,0.004142454,0.004217809,0.01303144],"study_design_scores_gemma":[0.0001217938,0.0003356996,0.3039462,0.0001328857,0.0008992563,0.0005744364,0.002643734,0.681928,0.0004147977,0.002833502,0.006087894,0.00008178187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903172,0.0004715063,0.003210612,0.0004742923,0.00001519096,0.0000126054,0.004314053,0.00007286961,0.001111482],"genre_scores_gemma":[0.9947436,0.0004356744,0.001142461,0.00004416732,0.00001131724,0.00002807751,0.002453133,0.00002494521,0.00111672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1768228,"threshold_uncertainty_score":0.3515872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01894397150359873,"score_gpt":0.2587744673043454,"score_spread":0.2398304958007467,"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."}}