{"id":"W2909861263","doi":"10.20969/vskm.2018.11(6).16-22","title":"ANALYSIS OF THE RANGE OF ANTIMICROBIAL MEDICINES FOR INFECTIOUS DISEASES TREATMENT","year":2018,"lang":"en","type":"article","venue":"The Bulletin of Contemporary Clinical Medicine","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Medicine; Antimicrobial; Traditional medicine; Internal medicine; Microbiology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007394241,0.000138331,0.001039281,0.00007840484,0.00009472571,6.316453e-7,0.0003164604,0.0001354577,0.0004538766],"category_scores_gemma":[0.0009690883,0.00005755528,0.0004564977,0.0002511428,0.004259307,0.000006007247,0.00005207033,0.0000888673,0.000006601254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006221314,"about_ca_system_score_gemma":0.00008863479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004160409,"about_ca_topic_score_gemma":0.00004988307,"domain_scores_codex":[0.9982054,0.0003812158,0.001034475,0.0001879346,0.00006068613,0.0001302816],"domain_scores_gemma":[0.9960165,0.002453217,0.0007677776,0.0005071695,0.0002342783,0.00002106308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00676083,0.002007572,0.7534229,0.0003462002,0.0144891,0.000002579752,0.001889542,0.000002491468,0.0333119,0.001044262,0.1819991,0.004723514],"study_design_scores_gemma":[0.02482085,0.01212747,0.4874703,0.001727744,0.01567894,0.000009501833,0.001188507,0.00001077337,0.05290959,0.0003521944,0.4033633,0.0003408095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616743,0.008803278,0.0002064955,0.02329336,0.001555964,0.0008928585,0.0001946197,0.00002122159,0.003357845],"genre_scores_gemma":[0.9968932,0.0004486893,0.00001064984,0.0008293877,0.0002182239,0.000004368098,0.00002534878,0.000007179089,0.00156295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2659526,"threshold_uncertainty_score":0.9984505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03469692153757893,"score_gpt":0.3281214356073835,"score_spread":0.2934245140698046,"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."}}