{"id":"W7115963291","doi":"10.64057/001c.142421","title":"Geographic Variability in Antibiotic Prescribing Rates in Medicaid","year":2021,"lang":"en","type":"article","venue":"Scholarly Research In Progress","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Geisinger Commonwealth School of Medicine","keywords":"Medicaid; Medical prescription; Census; Antibiotics; Quarter (Canadian coin); Amoxicillin; Geographic variation; Distribution (mathematics)","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":[0.0006801098,0.0001001782,0.0001435572,0.001391904,0.000223782,0.0003757302,0.0003421401,0.0002139718,0.00104167],"category_scores_gemma":[0.004396073,0.0001058155,0.0002810575,0.002268701,0.0002004868,0.0004210958,0.0004741419,0.0001826147,0.0001116763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007654936,"about_ca_system_score_gemma":0.0005521131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04271609,"about_ca_topic_score_gemma":0.04364855,"domain_scores_codex":[0.9993293,0.0001826971,0.00009829301,0.0001532469,0.0001561432,0.00008034515],"domain_scores_gemma":[0.9973718,0.0005404963,0.00148662,0.0001125373,0.0003544913,0.0001339445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003028805,0.00001484282,0.9954246,0.00001674893,0.00004594987,0.00005562947,0.0002213079,0.0002311166,0.0001554947,0.00006980933,0.0004201728,0.003314098],"study_design_scores_gemma":[0.000001640331,0.00001198951,0.9985912,0.00001147081,0.00001235958,0.00009414934,0.0003577047,0.0004419391,0.00006281204,0.00003245502,0.0003791146,0.000003042098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976045,0.0002261121,0.0001115594,0.000193458,0.00000345521,0.000006135552,0.001152054,0.000007442926,0.0006953918],"genre_scores_gemma":[0.9990074,0.0001673311,0.00008141973,0.00003504264,0.000006477133,0.000007648788,0.0006278391,0.000002364098,0.00006450469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04271609,"threshold_uncertainty_score":0.08493489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05630102688384774,"score_gpt":0.3619223328237456,"score_spread":0.3056213059398978,"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."}}