{"id":"W2137006877","doi":"10.4103/0110-5558.72422","title":"Recent trends in the impurity profile of pharmaceuticals","year":2010,"lang":"en","type":"article","venue":"Journal of Advanced Pharmaceutical Technology amp Research","topic":"Analytical Methods in Pharmaceuticals","field":"Chemistry","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemistry; Chromatography; Impurity; Active ingredient; Mass spectrometry; Liquid chromatography–mass spectrometry; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0107041,0.0003336069,0.0008630915,0.001613052,0.0001721995,0.0000373838,0.002583967,0.0006979852,0.007221721],"category_scores_gemma":[0.009026802,0.0002315456,0.0002938731,0.004090704,0.003230662,0.0002518344,0.0005087545,0.01199873,0.00004256397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001956524,"about_ca_system_score_gemma":0.0002638294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001414902,"about_ca_topic_score_gemma":0.000004762707,"domain_scores_codex":[0.9937094,0.0007656033,0.001743153,0.0004964878,0.001941717,0.001343662],"domain_scores_gemma":[0.9926844,0.004167735,0.0004363717,0.0009155794,0.001355823,0.0004401258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006457077,0.0009465521,0.002018265,0.00008925347,0.00008429137,0.0001474317,0.0000851927,0.00000964051,0.5199088,0.009212669,0.0006082674,0.4662439],"study_design_scores_gemma":[0.002386521,0.0001502141,0.0002183423,0.00007965187,0.00007322145,0.000492674,0.000415917,0.0004858041,0.6154948,0.03093082,0.349047,0.0002249688],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.934429,0.004615427,0.0004631363,0.0307117,0.0005863633,0.000403435,0.00003817404,0.00009136627,0.02866138],"genre_scores_gemma":[0.9625301,0.003692397,0.03280878,0.0002703987,0.0003232908,0.00005391398,0.000002806048,0.00004840487,0.0002699075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4660189,"threshold_uncertainty_score":0.999482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1980016306659841,"score_gpt":0.5644218525539874,"score_spread":0.3664202218880032,"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."}}