{"id":"W2176595360","doi":"10.3109/03639045.2015.1118493","title":"Novel self-assembled mesalamine–sucralfate complexes: preparation, characterization, and formulation aspects","year":2015,"lang":"en","type":"article","venue":"Drug Development and Industrial Pharmacy","topic":"Drug Solubulity and Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Sucralfate; Chemistry; Aqueous solution; Proton NMR; Drug delivery; Drug; Molecule; Fourier transform infrared spectroscopy; Combinatorial chemistry; Stereochemistry; Chemical engineering; Organic chemistry; Pharmacology; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001309552,0.0003278008,0.0003702722,0.0001699007,0.0004418271,0.0001359881,0.0001505674,0.0002118523,0.00008602443],"category_scores_gemma":[0.00007711811,0.0003235967,0.000033783,0.000277862,0.0000415779,0.0007749214,0.0001290196,0.000426385,0.00006957891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001279294,"about_ca_system_score_gemma":0.0004345431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005098208,"about_ca_topic_score_gemma":0.00002159692,"domain_scores_codex":[0.9978999,0.0002721781,0.0006967958,0.0004433653,0.000281887,0.0004058908],"domain_scores_gemma":[0.998726,0.000144719,0.0002886858,0.0001200743,0.0002466934,0.0004737992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007024608,0.003140003,0.2553214,0.0005199524,0.002562787,0.00007861153,0.09923781,0.0004800904,0.3958048,0.01413773,0.09225583,0.1294364],"study_design_scores_gemma":[0.01193216,0.00005555126,0.004726385,0.00003601364,0.000144711,0.00004672524,0.0003571067,0.01039189,0.07018326,0.00009355816,0.9014321,0.0006005726],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930871,0.0001851321,0.0004341938,0.0009845922,0.001643215,0.000971643,0.00002594962,0.0002322947,0.002435917],"genre_scores_gemma":[0.9963342,0.0001076114,0.0003822705,0.0007473755,0.0007213348,0.00007373429,0.0003556863,0.00002643295,0.00125133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8091763,"threshold_uncertainty_score":0.9999216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2078925259827985,"score_gpt":0.3964074563019841,"score_spread":0.1885149303191856,"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."}}