{"id":"W3202495714","doi":"10.1371/journal.pmed.1003747","title":"Evaluation of portable devices for medicine quality screening: Lessons learnt, recommendations for implementation, and future priorities","year":2021,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Pharmaceutical Quality and Counterfeiting","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Oxford; Department of Foreign Affairs and Trade, Australian Government; Australian Government; Wellcome Trust; Wellcome; Government of the United Kingdom; Department for International Development; United States Pharmacopeia; Government of Canada; Asian Development Bank","keywords":"Quality (philosophy); Medicine; MEDLINE; Medical physics; Computer science; Data science; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004210554,0.0001416933,0.0005203879,0.00009012644,0.0001801327,0.000007228349,0.00005144584,0.00006835311,0.0009789673],"category_scores_gemma":[0.001919646,0.0001154415,0.00005451819,0.0002014864,0.0001554217,0.0001270163,0.00002313025,0.0001253932,3.195156e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005101093,"about_ca_system_score_gemma":0.000256763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000079381,"about_ca_topic_score_gemma":0.0002018752,"domain_scores_codex":[0.9977905,0.0002186592,0.0007497969,0.0002914954,0.00072507,0.0002245117],"domain_scores_gemma":[0.9963382,0.0009119022,0.000292165,0.0001888794,0.002128882,0.0001398966],"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":[0.0009635371,0.0005562251,0.0191844,0.007502482,0.002088813,0.000004119118,0.01331452,0.000003906471,0.0732132,0.0592232,0.02860838,0.7953372],"study_design_scores_gemma":[0.05035297,0.002825161,0.07800234,0.004280667,0.01521967,0.00008482941,0.2715203,0.006433469,0.04776845,0.0209098,0.5018941,0.0007083339],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2253,0.01454204,0.01500415,0.7370586,0.0006229655,0.003387404,0.0003492101,0.00009879265,0.003636816],"genre_scores_gemma":[0.9840282,0.00106628,0.005731726,0.00489063,0.002306261,0.0003301076,0.001249319,0.0000301964,0.0003672542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7946289,"threshold_uncertainty_score":0.9999343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5083557734196621,"score_gpt":0.5713195465198324,"score_spread":0.06296377310017032,"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."}}