{"id":"W4295958212","doi":"10.1016/j.ijpharm.2022.122192","title":"4D study of liquid binder penetration dynamics in pharmaceutical powders using synchrotron X-ray micro computed tomography","year":2022,"lang":"en","type":"article","venue":"International Journal of Pharmaceutics","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"","keywords":"Materials science; Penetration (warfare); Synchrotron; Microcrystalline cellulose; Chemical engineering; Porosity; Granulation; Active ingredient; Composite material; Chromatography; Cellulose; Chemistry; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005071887,0.0001652923,0.0002562052,0.0008212739,0.00006084866,0.00003977982,0.0004906223,0.0000440728,0.00009538568],"category_scores_gemma":[0.00001104408,0.0001847584,0.0001407133,0.0004203628,0.00004455532,0.0001873396,0.00009727632,0.0006473547,5.889418e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006328308,"about_ca_system_score_gemma":0.00007797361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001643741,"about_ca_topic_score_gemma":0.00001117324,"domain_scores_codex":[0.9979716,0.000151546,0.0007696439,0.0001168036,0.0007899629,0.0002004298],"domain_scores_gemma":[0.9993109,0.0000665506,0.000194223,0.0000868444,0.0002544644,0.00008699206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006447924,0.001190743,0.01876872,0.00003541438,0.0007193346,0.0002511728,0.001150843,0.5050799,0.4703544,0.00009367228,0.00004283183,0.001668196],"study_design_scores_gemma":[0.005196181,0.0004035156,0.0009675187,0.00004055633,0.0001559238,0.0002184966,0.002161603,0.9429868,0.0468686,0.00002767077,0.0007376619,0.0002354024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867098,0.0005356555,0.01018508,0.00008675451,0.00218471,0.000205379,0.00003347849,0.00002216728,0.00003701826],"genre_scores_gemma":[0.9981622,0.00005708765,0.001497807,0.00009020322,0.0001431309,0.000003457146,0.0000142233,0.00003069941,0.000001267298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.437907,"threshold_uncertainty_score":0.753423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02704082205517832,"score_gpt":0.3155013558751706,"score_spread":0.2884605338199923,"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."}}