{"id":"W2142158030","doi":"10.18433/j3jg61","title":"Reciprocal Powered Time model for Release Kinetic Analysis of Ibuprofen Solid Dispersions in Oleaster Powder, Microcrystalline Cellulose and Crospovidone","year":2010,"lang":"en","type":"article","venue":"Journal of Pharmacy & Pharmaceutical Sciences","topic":"Drug Solubulity and Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Drug Applied Research Center, Tabriz University of Medical Sciences; University of Tabriz; Tabriz University of Medical Sciences","keywords":"Microcrystalline cellulose; Dissolution; Particle size; Materials science; Ibuprofen; Kinetics; Microcrystalline; Drug carrier; Piroxicam; Solubility; Dissolution testing; Cellulose; Chemical engineering; Particle (ecology); Powder diffraction; Chemistry; Chromatography; Analytical Chemistry (journal); Crystallography; Drug delivery; Physical chemistry; Organic chemistry; Nanotechnology; Pharmacology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007358452,0.0009665323,0.0005733294,0.0005854105,0.0001931097,0.0005568794,0.0009814636,0.0007166598,0.001734708],"category_scores_gemma":[0.002005009,0.0002485185,0.001399951,0.0004203724,0.0004607434,0.0009550432,0.0003054179,0.001117344,0.001446302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008531091,"about_ca_system_score_gemma":0.0005431667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00205564,"about_ca_topic_score_gemma":0.0008697051,"domain_scores_codex":[0.9993857,0.0001312303,0.00003687546,0.000113516,0.0002805025,0.00005218446],"domain_scores_gemma":[0.9994279,0.0002944721,0.0001122723,0.00004833811,0.0001037554,0.00001336012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006292568,0.0002171575,0.002880937,0.00127643,0.000148551,0.00117926,0.0004147706,0.5575787,0.2993586,0.0327212,0.001826134,0.1017689],"study_design_scores_gemma":[0.00001579706,0.0002214559,0.0006585404,0.00001794776,0.00003409409,0.000543328,0.00001818928,0.9622247,0.03002311,0.002234259,0.003980352,0.00002824667],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05814235,0.003361401,0.9322017,0.0002925763,0.0001215639,0.0001447434,0.0002235342,0.0006863761,0.004825753],"genre_scores_gemma":[0.8548298,0.005223701,0.1183937,0.0001891097,0.00008654985,0.0005213811,0.0006772653,0.0003908243,0.0196876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00205564,"threshold_uncertainty_score":0.006189764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.10994698789017,"score_gpt":0.4582215801825707,"score_spread":0.3482745922924007,"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."}}