{"id":"W3127131114","doi":"10.1016/j.ijpharm.2021.120334","title":"Potential of Raman spectroscopy in facilitating pharmaceutical formulations development – An AI perspective","year":2021,"lang":"en","type":"review","venue":"International Journal of Pharmaceutics","topic":"Drug Solubulity and Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Biochemical engineering; Computer science; Drug development; Critical quality attributes; Process analytical technology; Active ingredient; Drug; Dosage form; New product development; Pharmaceutical formulation; Pharmaceutical industry; Quality by Design; Process (computing); Process engineering; Nanotechnology; Materials science; Pharmacology; Engineering; Medicine; Business; Operations management; Work in process","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":[0.001583672,0.001007039,0.0008162463,0.001949983,0.000380486,0.001605925,0.001130732,0.001777996,0.004143232],"category_scores_gemma":[0.0009920048,0.0004133041,0.0008069794,0.001437024,0.0009275533,0.002176049,0.0007934553,0.002305429,0.00182749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004900803,"about_ca_system_score_gemma":0.0008137616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001040263,"about_ca_topic_score_gemma":0.001770509,"domain_scores_codex":[0.9995735,0.00008424921,0.00002269789,0.00007061628,0.0002083659,0.00004061286],"domain_scores_gemma":[0.9990964,0.0005500291,0.0000870057,0.00003928819,0.0001921834,0.00003496831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001146787,0.0003117364,0.0003781601,0.01241257,0.0001302633,0.0003787973,0.0001300286,0.001053724,0.04741101,0.02315279,0.009294831,0.9052314],"study_design_scores_gemma":[0.00003559581,0.0007587986,0.001961915,0.003778261,0.0002591539,0.002676805,0.0003336745,0.003162635,0.04365196,0.01606227,0.9272173,0.0001016008],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00114125,0.9856103,0.004454875,0.001311803,0.0005180076,0.00001547839,0.0000283715,0.00003565833,0.006884301],"genre_scores_gemma":[0.01172762,0.9796862,0.004383672,0.000496994,0.0006074333,0.00001839503,0.00003197481,0.00000742278,0.003040281],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004143232,"threshold_uncertainty_score":0.01386052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2082360116804342,"score_gpt":0.5539972375638377,"score_spread":0.3457612258834035,"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."}}