{"id":"W2526014106","doi":"10.1208/s12249-016-0634-8","title":"Carboxymethyl Starch Excipients for Drug Chronodelivery","year":2016,"lang":"en","type":"article","venue":"AAPS PharmSciTech","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Drug; Chemistry; Starch; Chromatography; Pharmacology; Food science; 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":[0.0005080978,0.0001675419,0.0001920839,0.00002013975,0.0001815305,0.00004250792,0.0005292532,0.00008070238,0.0003768024],"category_scores_gemma":[0.00006866956,0.00005038164,0.0001264586,0.0001967955,0.00006962036,0.0001954747,0.0001321173,0.00006752474,0.00017941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008678794,"about_ca_system_score_gemma":0.00001189464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001657047,"about_ca_topic_score_gemma":0.0001021882,"domain_scores_codex":[0.9985039,0.00006950713,0.0002497986,0.0004356213,0.0002862808,0.0004549126],"domain_scores_gemma":[0.9992626,0.0003067747,0.00009073239,0.0001118855,0.0001067155,0.0001213103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005798,0.00004632627,0.001072602,0.000009578427,0.00001711657,0.000001451995,0.00004182582,2.89039e-7,0.8228518,0.000173224,0.003546021,0.1721818],"study_design_scores_gemma":[0.001436296,0.0008001463,0.005577682,0.0001441226,0.00002600032,0.00001016211,0.0001480924,0.0000863023,0.4898956,0.003436545,0.4976871,0.0007519725],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954441,0.0003944947,0.000170033,0.001715825,0.0004996518,0.0007659762,0.0002119513,0.0001652565,0.0006327323],"genre_scores_gemma":[0.9967132,0.00004374703,0.0001733338,0.0001683348,0.00059177,0.0002369394,0.00001748152,0.000002456878,0.002052734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4941411,"threshold_uncertainty_score":0.4125722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03058429373127697,"score_gpt":0.2484636979195414,"score_spread":0.2178794041882645,"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."}}