{"id":"W4415733887","doi":"10.2139/ssrn.5679582","title":"Understanding real-time water penetration dynamics in tablets using synchrotron X-ray micro computed tomography","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Drug Solubulity and Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"National Research Council Canada; Canadian Institutes of Health Research; Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; Genentech; Canadian Light Source","keywords":"Magnesium stearate; Penetration (warfare); Croscarmellose sodium; Microcrystalline cellulose; Swelling; Excipient; Lubricant; Wetting; Porosity","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","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.004870162,0.0005699294,0.0007890049,0.0009749745,0.0005763561,0.0001795991,0.0006589837,0.00129739,0.0001259612],"category_scores_gemma":[0.00001968913,0.0005451771,0.0003652232,0.0003937826,0.000149048,0.0002197454,0.0003545849,0.009221385,0.00003020229],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0125438,"about_ca_system_score_gemma":0.003041852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007240312,"about_ca_topic_score_gemma":0.002283369,"domain_scores_codex":[0.9932798,0.001529341,0.001064224,0.0006491891,0.0003223669,0.003155047],"domain_scores_gemma":[0.9986832,0.0002087671,0.0004578251,0.0003121968,0.0001619009,0.0001761517],"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":[0.003166287,0.00212984,0.04355406,0.001921258,0.007862127,0.0003865995,0.00443074,0.7208823,0.1268229,0.08335968,0.002103741,0.003380427],"study_design_scores_gemma":[0.004651702,0.0003760057,0.0003713307,0.001034641,0.001045611,0.0006088157,0.00379487,0.8455062,0.001909563,0.1375583,0.001409967,0.00173299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9327666,0.00463862,0.04672961,0.001098839,0.005943682,0.001694823,0.0001826731,0.0002136284,0.00673159],"genre_scores_gemma":[0.9924265,0.004502721,0.0003095241,0.0002134625,0.0005315847,0.00001756415,0.0003134118,0.00004614237,0.001639057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1249134,"threshold_uncertainty_score":0.9999991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09448405224656076,"score_gpt":0.3689899421965507,"score_spread":0.27450588994999,"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."}}