{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009794096,0.0004598667,0.000448605,0.002709331,0.0007032325,0.001298713,0.000418007,0.0004515712,0.001476424],"category_scores_gemma":[0.001832987,0.0001866161,0.0003154904,0.002099981,0.001306206,0.0004254987,0.0007200337,0.0002604696,0.0002268454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001235301,"about_ca_system_score_gemma":0.00129133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02856686,"about_ca_topic_score_gemma":0.02675953,"domain_scores_codex":[0.9967499,0.0002509177,0.0002442499,0.0003809229,0.002106883,0.000267224],"domain_scores_gemma":[0.9973563,0.0003259705,0.001395921,0.00009977327,0.0006885847,0.0001333729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008538975,0.0002306375,0.9002848,0.0007220836,0.00008847511,0.001296135,0.001873708,0.0002317558,0.06224736,0.0003195173,0.0003949811,0.03145666],"study_design_scores_gemma":[0.000009926979,0.0006979476,0.9382696,0.0001694633,0.0001133253,0.0026838,0.001789973,0.0004040069,0.05081878,0.0001167016,0.004897869,0.00002866815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990956,0.003041534,0.0008009205,0.00007121119,0.00001563428,0.0001591036,0.00136179,0.00002118266,0.003572659],"genre_scores_gemma":[0.9945003,0.001564481,0.001957684,0.00007241141,0.0000177113,0.00004304849,0.0009121317,0.000008761308,0.0009234739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02856686,"threshold_uncertainty_score":0.0568012,"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."}}