{"id":"W4399493462","doi":"10.1177/10591478241264022","title":"Influencing Primary Care Antibiotic Prescription Behavior Using Financial Incentives","year":2024,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University; Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Incentive; Medical prescription; Payment; Business; Harm; Actuarial science; Antibiotic resistance; Prescription costs; Public economics; Medicine; Antibiotics; Finance; Economics; Prescription drug; Nursing; Psychology; Microeconomics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007442635,0.0005599105,0.0006011723,0.0006206935,0.0008090228,0.002147773,0.0007661526,0.002058199,0.005013461],"category_scores_gemma":[0.04986006,0.0004375252,0.0005550742,0.0005731627,0.0009601004,0.001081984,0.001196972,0.001433805,0.0003913605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002968584,"about_ca_system_score_gemma":0.00285767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007109736,"about_ca_topic_score_gemma":0.006527881,"domain_scores_codex":[0.9919336,0.006115051,0.0001946124,0.0004042689,0.0004703342,0.0008820643],"domain_scores_gemma":[0.9413814,0.04627516,0.008327682,0.001206151,0.001118886,0.001690762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00247586,0.007805867,0.513041,0.0005825522,0.0006997631,0.0006615829,0.002317842,0.2145542,0.004455158,0.05756933,0.008943076,0.1868938],"study_design_scores_gemma":[0.001493343,0.004201375,0.304032,0.0003756543,0.0004392276,0.0002940736,0.002872202,0.5731103,0.001852202,0.09653196,0.01458119,0.000216642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9558505,0.0004716252,0.01833645,0.006676021,0.00009611465,0.0004085722,0.000437232,0.00010085,0.01762255],"genre_scores_gemma":[0.9966229,0.000106044,0.002223924,0.0002968781,0.00002360464,0.00006661275,0.00003055862,0.000004157734,0.0006252658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007442635,"threshold_uncertainty_score":0.03936088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01106171619278043,"score_gpt":0.2415060649042818,"score_spread":0.2304443487115014,"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."}}