{"id":"W3195483889","doi":"10.2174/1574886316666210816115811","title":"Investigating Potential Drug-Drug Interactions from Greek e-Prescription Data","year":2021,"lang":"en","type":"article","venue":"Current Drug Safety","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Medicine; Polypharmacy; Medical prescription; Odds ratio; Logistic regression; Drug; Pharmacoepidemiology; Confidence interval; Internal medicine; Pharmacology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003424002,0.0002191643,0.0003245831,0.00006943029,0.0002310691,0.00007508886,0.000281556,0.00002757484,0.00128943],"category_scores_gemma":[0.0007552154,0.0002030785,0.0001325886,0.0002647756,0.00008428124,0.0008640163,0.0005695529,0.0008651852,0.0003081433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009767459,"about_ca_system_score_gemma":0.0001961987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002923135,"about_ca_topic_score_gemma":0.0001542491,"domain_scores_codex":[0.9977831,0.0002866913,0.0005464862,0.0006079319,0.0004627529,0.0003129871],"domain_scores_gemma":[0.9979712,0.0003990691,0.000209444,0.0009095894,0.0001548734,0.0003558095],"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":[0.0008184396,0.003164487,0.2899864,0.001098422,0.0009697177,0.0004256274,0.006071341,0.0002306958,0.02167031,0.0008051819,0.2836941,0.3910653],"study_design_scores_gemma":[0.00286713,0.00001036577,0.04127422,0.0007409816,0.0008944111,0.00007367905,0.00121008,0.05838515,0.001906257,0.0006486166,0.8915763,0.0004127283],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9269083,0.007876086,0.003355837,0.03518865,0.01677126,0.0008732975,0.001544208,0.0003465494,0.00713578],"genre_scores_gemma":[0.9860032,0.001172742,0.002131709,0.001401373,0.001347668,0.00001096532,0.00646128,0.00003572975,0.001435321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6078823,"threshold_uncertainty_score":0.9996235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1937308112655834,"score_gpt":0.4233232818770461,"score_spread":0.2295924706114627,"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."}}