{"id":"W2390159753","doi":"","title":"Preparation of Andrographis paniculata Extract Solid Dispersion by Hot-melt Extrusion Technology","year":2014,"lang":"en","type":"article","venue":"Zhongguo yaofang","topic":"Andrographolide Research and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Drug Research and Development","funders":"","keywords":"Andrographis paniculata; Dispersion (optics); Materials science; Dissolution; Extrusion; Amorphous solid; Chromatography; Solubility; Chemistry; Nuclear chemistry; Organic chemistry; Composite material; Medicine","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":[0.0002457624,0.0001433381,0.0002998184,0.0003392355,0.0001343618,0.00001509269,0.0001349317,0.00017757,0.0001308373],"category_scores_gemma":[0.0001360651,0.0001202754,0.0001502022,0.0007836465,0.0001992677,0.0001097808,0.00006620814,0.0001980959,0.00004393486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002115559,"about_ca_system_score_gemma":0.00003535849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004084835,"about_ca_topic_score_gemma":0.00001354325,"domain_scores_codex":[0.9986857,0.00003600468,0.0003099026,0.0003270405,0.0003246951,0.0003166403],"domain_scores_gemma":[0.9989833,0.00005819717,0.0001333067,0.0005240562,0.0001268809,0.0001742249],"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":[0.0003249501,0.0007182143,0.05042647,0.0001484017,0.0000991027,0.000007230634,0.0001016919,0.000004038734,0.8057839,0.002568361,0.01438016,0.1254375],"study_design_scores_gemma":[0.005196397,0.003741956,0.0877476,0.0009511769,0.0004429804,0.000314238,0.0008312075,0.01048644,0.6061637,0.002675196,0.2805016,0.0009475418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894331,0.001161017,0.00505855,0.0009345974,0.00003210528,0.0005666279,0.00002718206,0.0001402848,0.0026465],"genre_scores_gemma":[0.9975353,0.0006084366,0.001174275,0.00005269414,0.00005805619,0.00005948135,0.0001823315,0.00002109367,0.0003082672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2661214,"threshold_uncertainty_score":0.4904687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027961692836336,"score_gpt":0.3326525340452461,"score_spread":0.3223729171168827,"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."}}