{"id":"W1592564381","doi":"10.3109/10837450.2015.1063650","title":"Physical–chemical properties of furosemide nanocrystals developed using rotation revolution mixer","year":2015,"lang":"en","type":"article","venue":"Pharmaceutical Development and Technology","topic":"Drug Solubulity and Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Dissolution; Solubility; Differential scanning calorimetry; Amorphous solid; Materials science; Powder diffraction; Raman spectroscopy; Chemical engineering; Dispersity; Nanocrystal; Particle size; Thermal analysis; Analytical Chemistry (journal); Chemistry; Nuclear chemistry; Nanotechnology; Crystallography; Chromatography; Organic chemistry; Thermodynamics; Polymer chemistry; Thermal; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007613662,0.0002823431,0.0004703684,0.0002803337,0.0001634177,0.00001553137,0.0002341751,0.0004340891,0.00002525539],"category_scores_gemma":[0.0002847674,0.0002563279,0.0000457658,0.0005929177,0.0006349798,0.0001898924,0.0002563157,0.0005510238,0.00005467903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001609739,"about_ca_system_score_gemma":0.0003391114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000982385,"about_ca_topic_score_gemma":0.000002441313,"domain_scores_codex":[0.9979653,0.0002203884,0.0006164983,0.0004157955,0.0002716356,0.0005104289],"domain_scores_gemma":[0.9989234,0.00008666958,0.0001886872,0.0001509506,0.0003619672,0.0002883027],"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":[0.0005324361,0.0005202315,0.01063869,0.000325101,0.0002514557,0.00002517073,0.002736007,0.00005284062,0.9265556,0.004380156,0.0005000064,0.05348226],"study_design_scores_gemma":[0.00176779,0.00004763873,0.00006680049,0.00007716414,0.0001121749,0.00006805431,0.0006670966,0.01107202,0.9201032,0.001155243,0.06450074,0.0003620994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948196,0.001924126,0.0005682434,0.000625028,0.0004654017,0.0004880144,0.000007058605,0.0002087155,0.0008938019],"genre_scores_gemma":[0.996264,0.00006276397,0.003091902,0.000207995,0.0000888803,0.00006083101,0.00001267131,0.00002317734,0.0001877388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06400073,"threshold_uncertainty_score":0.9999889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2418210661599485,"score_gpt":0.4141912162655387,"score_spread":0.1723701501055902,"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."}}