{"id":"W3154219648","doi":"10.15173/m.v1i28.2620","title":"The implications of antimalarial overprescription","year":2021,"lang":"en","type":"article","venue":"The Meducator","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McMaster University","keywords":"MEDLINE; Medicine; Data science; Computer science; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004229812,0.00008422622,0.0001004055,0.00001848219,0.0005982298,0.00001675505,0.0002756418,0.0000681009,0.0006028567],"category_scores_gemma":[0.0001588554,0.00005162891,0.00009801246,0.0002276224,0.0002308065,0.00007092964,0.00005982689,0.000386647,0.0001270256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003239307,"about_ca_system_score_gemma":0.000298801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001193734,"about_ca_topic_score_gemma":0.00001081374,"domain_scores_codex":[0.9991041,0.0002644165,0.0001988406,0.000127773,0.00008774996,0.0002170652],"domain_scores_gemma":[0.9987998,0.0005937286,0.0001022681,0.0003116544,0.0001157382,0.00007681931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001208922,0.0003905564,0.006651957,0.00001457602,0.000254548,0.000003129742,0.001043918,0.0001221632,0.8414914,0.04355182,0.09535629,0.01099878],"study_design_scores_gemma":[0.0003824483,0.000008952803,0.01645689,0.00000435017,0.0001490561,0.00003172406,0.0007017376,0.0001128012,0.1779362,0.001938755,0.8022009,0.00007620001],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.933208,0.001693791,0.00006635514,0.0354351,0.004881358,0.0002843759,0.0001052052,0.00005142717,0.02427434],"genre_scores_gemma":[0.9940005,0.000940942,0.00002940506,0.001835734,0.0005069493,0.00005687951,0.00001605672,0.000009132077,0.002604424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7068446,"threshold_uncertainty_score":0.6600859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1261916288228244,"score_gpt":0.4697779505145355,"score_spread":0.343586321691711,"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."}}