{"id":"W4411222592","doi":"10.33321/cdi.2003.27.24","title":"TSN® Database Australia, a new tool to monitor antimicrobial resistance in Australia","year":2003,"lang":"en","type":"article","venue":"Communicable Diseases Intelligence","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Database; Computer science; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005897495,0.0004339981,0.0006109608,0.006492839,0.0005598465,0.00202296,0.0009966481,0.0003166886,0.003556078],"category_scores_gemma":[0.02042679,0.0007147987,0.000263151,0.005603666,0.0002920553,0.0047709,0.002608513,0.000576376,0.001578171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650212,"about_ca_system_score_gemma":0.003068703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0140556,"about_ca_topic_score_gemma":0.01256536,"domain_scores_codex":[0.9952609,0.0009737147,0.001139127,0.0006520263,0.001829661,0.0001446518],"domain_scores_gemma":[0.9827569,0.00351955,0.002790442,0.002261222,0.00717871,0.001493227],"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":[0.001535696,0.0003080461,0.1130344,0.002128669,0.0002180462,0.0008356967,0.006254965,0.003006695,0.01808406,0.009499823,0.1498784,0.6952156],"study_design_scores_gemma":[0.0002341388,0.0006219929,0.2415655,0.000508739,0.0002064076,0.002276675,0.001633003,0.04103554,0.01677065,0.005850081,0.6890324,0.0002649434],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4364862,0.005282516,0.3019904,0.005193649,0.0004803581,0.006521805,0.09633075,0.07318868,0.07452562],"genre_scores_gemma":[0.4950764,0.003058172,0.3694355,0.001204682,0.0002699103,0.00316214,0.09293145,0.003481851,0.03137998],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0140556,"threshold_uncertainty_score":0.03118926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04667487668433422,"score_gpt":0.3234420522281352,"score_spread":0.2767671755438009,"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."}}