{"id":"W3209055227","doi":"10.29169/1927-5951.2021.11.10","title":"Cefdinir Inclusion in Mesoporous Silica as Effective Dissolution Enhancer with Improved Physical Stability","year":2021,"lang":"en","type":"article","venue":"Journal of Pharmacy and Nutrition Sciences","topic":"Drug Solubulity and Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Damascus University","keywords":"Cefdinir; Dissolution; Differential scanning calorimetry; Mesoporous silica; Mesoporous material; Chemistry; Solubility; Fourier transform infrared spectroscopy; Materials science; Chemical engineering; Nuclear chemistry; Organic chemistry; Thermodynamics; Catalysis","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":[0.0001061457,0.0002342408,0.0002338873,0.0001772208,0.00009437321,0.0001596575,0.0001409289,0.0002748985,0.0005975702],"category_scores_gemma":[0.0001375867,0.0001146525,0.000340109,0.0001132145,0.0001275762,0.0002354398,0.0001468062,0.0002031304,0.000176263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001761674,"about_ca_system_score_gemma":0.0001506774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004800018,"about_ca_topic_score_gemma":0.0008780776,"domain_scores_codex":[0.999928,0.000006560035,0.000006389326,0.00002101783,0.00002235615,0.00001561783],"domain_scores_gemma":[0.9999374,0.00001344405,0.00002018514,0.00000380236,0.00001449385,0.00001066646],"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":[0.00005232711,0.00001308732,0.00007182796,0.00006191208,0.000005132767,0.0000428341,0.00000611337,0.00007088952,0.9981432,0.00002797534,0.00002487604,0.001479857],"study_design_scores_gemma":[0.00001550039,0.0002862982,0.001477013,0.000008152113,0.00002477077,0.0001626945,0.000008359533,0.001134322,0.9948808,0.00001292189,0.001983101,0.000006124382],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99121,0.002986004,0.004159257,0.00006502633,0.00003721626,0.00003019003,0.0001429434,0.00008378397,0.001285604],"genre_scores_gemma":[0.9909585,0.001400257,0.005995876,0.00004063368,0.00001897056,0.00002117386,0.0001300914,0.00001898245,0.001415609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005975702,"threshold_uncertainty_score":0.00199908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06836271986782333,"score_gpt":0.4411933463867623,"score_spread":0.3728306265189389,"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."}}