{"id":"W6911582740","doi":"10.5281/zenodo.11727313","title":"antibiotic ladder pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Antibiotics; Antibiotic Stewardship; Dosing; Antibiotic resistance; Guideline; Nitrofurantoin; Metronidazole; Antimicrobial stewardship","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008776652,0.001613107,0.001455045,0.003197853,0.001865572,0.006570606,0.001853396,0.002658949,0.8836578],"category_scores_gemma":[0.006117522,0.0008172359,0.001069524,0.002421628,0.0007623258,0.006013962,0.003406625,0.003028943,0.8398832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001333854,"about_ca_system_score_gemma":0.00187774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001949684,"about_ca_topic_score_gemma":0.003771968,"domain_scores_codex":[0.9985589,0.0001161954,0.00008003759,0.0001852865,0.000901087,0.0001584498],"domain_scores_gemma":[0.9953276,0.0006685886,0.0002027935,0.0004950743,0.002261086,0.00104489],"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":[0.0000645557,0.00006380305,0.0000573367,0.0003354725,0.000003082486,0.00007572372,0.00004487338,0.00005267265,0.001215918,0.001626165,0.9271799,0.06928046],"study_design_scores_gemma":[0.00001184294,0.00002447166,0.0001496962,0.00006422925,0.000002496869,0.0000736392,0.00003258577,0.00002901338,0.0004917921,0.0003671173,0.9987454,0.000007626034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005682958,0.001586304,0.002589735,0.00204095,0.00381085,0.0004356756,0.006031177,0.006931684,0.9760054],"genre_scores_gemma":[0.001991898,0.001271997,0.001465727,0.001136799,0.0006753776,0.0001229444,0.00315724,0.002404585,0.9877735],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1163422,"threshold_uncertainty_score":0.1659479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02758863625079761,"score_gpt":0.244098982892543,"score_spread":0.2165103466417454,"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."}}