{"id":"W2037824215","doi":"10.1248/cpb.57.1356","title":"Thermal Treating of Acrylic Matrices as a Tool for Controlling Drug Release","year":2009,"lang":"en","type":"article","venue":"Chemical and Pharmaceutical Bulletin","topic":"Drug Solubulity and Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Tabriz","keywords":"Differential scanning calorimetry; Chemistry; Scanning electron microscope; Granulation; Polymer; Thermal analysis; Aqueous solution; Fourier transform infrared spectroscopy; Nuclear chemistry; Ibuprofen; Anhydrous; Dosage form; Chemical engineering; Chromatography; Analytical Chemistry (journal); Materials science; Composite material; Thermal; Organic chemistry","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":[0.0002086864,0.0004756271,0.0002737707,0.0002408198,0.0001584669,0.0002596499,0.0001558954,0.0002751652,0.000852914],"category_scores_gemma":[0.00021857,0.0002460059,0.0003099136,0.0002290127,0.0002283814,0.0003214562,0.0001626402,0.0004962445,0.0002531825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000114505,"about_ca_system_score_gemma":0.0001180499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002005021,"about_ca_topic_score_gemma":0.0005168146,"domain_scores_codex":[0.9997836,0.00004027926,0.00001772792,0.00005043996,0.00007959042,0.00002834127],"domain_scores_gemma":[0.999808,0.00004168053,0.0001014265,0.00001738876,0.00001878723,0.00001268559],"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":[0.00003350746,0.00001035592,0.00003131446,0.00007093427,0.000004414356,0.00002849167,0.000009481138,0.00009326046,0.997807,0.00002968554,0.000008384616,0.001873231],"study_design_scores_gemma":[0.000006478717,0.0005336759,0.001043317,0.0000117928,0.00001603446,0.0002027991,0.0000146033,0.0003878782,0.9959733,0.00002111843,0.00178158,0.000007406164],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554674,0.02459893,0.01677128,0.0001180224,0.00008648942,0.0000987696,0.0001657083,0.0001582168,0.002535254],"genre_scores_gemma":[0.972403,0.008378665,0.01727612,0.00006936531,0.00003261972,0.0000586205,0.0001251463,0.00005118332,0.001605281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000852914,"threshold_uncertainty_score":0.002853274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05342772851079453,"score_gpt":0.3865238904643489,"score_spread":0.3330961619535544,"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."}}