{"id":"W1524830405","doi":"10.1002/jps.23739","title":"Hot-Melt Granulation in a Twin Screw Extruder: Effects of Processing on Formulations with Caffeine and Ibuprofen","year":2013,"lang":"en","type":"article","venue":"Journal of Pharmaceutical Sciences","topic":"Drug Solubulity and Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University; Dow Chemical Company","keywords":"Granulation; Granule (geology); Differential scanning calorimetry; Plastics extrusion; Extrusion; Chromatography; Caffeine; Chemistry; Lactose; Ibuprofen; Active ingredient; Polyethylene glycol; Dehydration; Solubility; Materials science; Chemical engineering; Organic chemistry; Pharmacology; Composite material; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004542213,0.0004151929,0.0007421019,0.0003455193,0.0004305827,0.0004344592,0.0003185916,0.0004967634,0.001753871],"category_scores_gemma":[0.0007482882,0.000303359,0.0006927912,0.0003829096,0.0003213882,0.0005093429,0.0002692036,0.0005068098,0.0003331438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002090431,"about_ca_system_score_gemma":0.0003276374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001441104,"about_ca_topic_score_gemma":0.001951018,"domain_scores_codex":[0.9996372,0.00007217316,0.0000555078,0.00007990364,0.00008125233,0.00007387279],"domain_scores_gemma":[0.9995624,0.0001863861,0.0001304262,0.00003424242,0.00004853952,0.00003798305],"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":[0.003323216,0.0001637803,0.0005522746,0.00009516241,0.00003383336,0.0001166846,0.00009769414,0.000214451,0.9914124,0.00003117484,0.00004179524,0.003917536],"study_design_scores_gemma":[0.00005873845,0.001569309,0.007271755,0.000008695891,0.00009425191,0.00009394984,0.00004519458,0.001167634,0.9893271,0.00001122419,0.0003381752,0.00001401408],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984864,0.0004557223,0.0006659483,0.00002398255,0.00001530078,0.00001743357,0.00007139038,0.00003419088,0.000229489],"genre_scores_gemma":[0.9967212,0.0004226116,0.001987212,0.00002662465,0.00001482101,0.00001662228,0.0001182682,0.00004071751,0.0006518997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001753871,"threshold_uncertainty_score":0.005867243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09247868257242839,"score_gpt":0.4342261647110138,"score_spread":0.3417474821385854,"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."}}