{"id":"W1990075447","doi":"10.1186/2050-6511-15-34","title":"Microbiological contamination in counterfeit and unapproved drugs","year":2014,"lang":"en","type":"article","venue":"BMC Pharmacology and Toxicology","topic":"Pharmaceutical Quality and Counterfeiting","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Inuit Tapiriit Kanatami; Health Canada","funders":"Health Canada","keywords":"Contamination; Counterfeit; Medicine; Biology; History; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008022779,0.0001376928,0.0003515345,0.00009956453,0.00007047695,0.000008283196,0.00005023908,0.0002495364,0.0001841185],"category_scores_gemma":[0.0001247332,0.0001201076,0.00002723242,0.00007835822,0.0003855226,0.00005721659,0.00007607294,0.0003591379,0.0000132551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003935466,"about_ca_system_score_gemma":0.0000363178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005646873,"about_ca_topic_score_gemma":0.00002437948,"domain_scores_codex":[0.9986469,0.0003958081,0.0002734146,0.0003297791,0.00004618079,0.0003079669],"domain_scores_gemma":[0.9990584,0.0006586277,0.00006176496,0.00005961621,0.00003508497,0.0001265302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002886471,0.0007906373,0.1834189,0.000430637,0.0001016156,0.00005125898,0.0009382857,0.000004738333,0.7803732,0.01045636,0.000668503,0.01987944],"study_design_scores_gemma":[0.0386984,0.003755492,0.7509018,0.0001328095,0.0006065927,0.001330718,0.0009511398,0.03998523,0.08440578,0.003952372,0.07439705,0.0008826628],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941001,0.0003582275,0.0003564705,0.002213622,0.000214738,0.000326381,0.000003490593,0.00003877558,0.002388198],"genre_scores_gemma":[0.98845,0.0001262635,0.0001740344,0.01089276,0.0001318836,0.00004358006,0.00001151178,0.000007369879,0.0001626303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6959674,"threshold_uncertainty_score":0.4897847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03117776850049066,"score_gpt":0.3473427298683043,"score_spread":0.3161649613678136,"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."}}