{"id":"W2059650751","doi":"10.1016/j.jpba.2006.01.039","title":"Excipient quantitation and drug distribution during formulation optimization","year":2006,"lang":"en","type":"article","venue":"Journal of Pharmaceutical and Biomedical Analysis","topic":"Inhalation and Respiratory Drug Delivery","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Merck Canada Inc. (Canada)","funders":"","keywords":"Chemistry; Chromatography; High-performance liquid chromatography; Excipient; Reproducibility; Granulation; Mannitol; Dosage form; Chromatography detector; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001198514,0.0005590008,0.0005134289,0.0005067946,0.0005389824,0.0008954079,0.0003810632,0.0005132116,0.001271827],"category_scores_gemma":[0.002975505,0.0003878876,0.0003262989,0.0004896162,0.0004916797,0.0007386879,0.0003757836,0.000622507,0.0004855722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006029426,"about_ca_system_score_gemma":0.0005306782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002336952,"about_ca_topic_score_gemma":0.003380644,"domain_scores_codex":[0.9988355,0.0002812195,0.00009018632,0.000317576,0.0003723666,0.0001032432],"domain_scores_gemma":[0.9992538,0.0003136341,0.0001061908,0.00007806881,0.0002296254,0.00001863832],"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":[0.0004386448,0.00004462365,0.0008210262,0.00004637834,0.00001006568,0.00003983334,0.00007372711,0.0005444076,0.986801,0.00008876935,0.00005546971,0.01103587],"study_design_scores_gemma":[0.000003833914,0.00009802336,0.001101941,0.000002468364,0.00001064862,0.0000364664,0.00001092918,0.001663854,0.9966183,0.00001577102,0.0004328449,0.000004919877],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9517208,0.00196444,0.04281177,0.0001599532,0.00006617395,0.0001707559,0.0003997401,0.000347674,0.002358707],"genre_scores_gemma":[0.9624279,0.001082703,0.02985008,0.0001086357,0.00001676445,0.00009897167,0.0003418359,0.0003118635,0.00576126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002336952,"threshold_uncertainty_score":0.006338418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228395878668145,"score_gpt":0.3008926372916507,"score_spread":0.2886086785049692,"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."}}