{"id":"W3129745334","doi":"10.1016/j.microc.2021.106073","title":"Green methods for the simultaneous analysis of pharmaceutical mixtures present in disparate concentration ranges: Application to antidiabetic mixtures","year":2021,"lang":"en","type":"article","venue":"Microchemical Journal","topic":"Analytical Methods in Pharmaceuticals","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Chromatography; Dosage form; Saxagliptin; Ternary operation; Chemistry; Computer science; Metformin; Medicine; Insulin; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001111628,0.0002461813,0.0006468518,0.0001016824,0.0001075079,0.00007210064,0.0005104237,0.0002109118,0.0004743956],"category_scores_gemma":[0.00214301,0.000185031,0.0004336799,0.0009670619,0.0002003933,0.00004929987,0.0001304468,0.0006671874,0.000003214282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001387746,"about_ca_system_score_gemma":0.00009067492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001235498,"about_ca_topic_score_gemma":0.000003125187,"domain_scores_codex":[0.9974921,0.0003285768,0.0008874367,0.0004499423,0.0003292963,0.0005126353],"domain_scores_gemma":[0.9923059,0.006356594,0.0002225138,0.0003768629,0.0004125246,0.0003255896],"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":[0.000282148,0.0001975031,0.0005765909,0.0001042689,0.0009061443,0.00001458195,0.0001772088,0.002424847,0.9314885,0.00005744489,0.0001891147,0.06358162],"study_design_scores_gemma":[0.0006730455,0.00001042824,0.00004118593,0.00003887771,0.001721275,0.00003187046,0.00007209759,0.1496024,0.839464,0.0008126307,0.007354501,0.0001776896],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1834002,0.007014643,0.804633,0.004209142,0.000103757,0.000352871,0.00007442042,0.00002496862,0.0001870135],"genre_scores_gemma":[0.8898858,0.0004522134,0.1080797,0.0009088744,0.0004013525,0.00006998431,0.00004211829,0.00003199608,0.0001279331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7064856,"threshold_uncertainty_score":0.7545347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03716610764888229,"score_gpt":0.4369294206692774,"score_spread":0.3997633130203951,"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."}}