{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003415794,0.0003780923,0.0002243783,0.0003654761,0.0001725474,0.0003869503,0.000179792,0.0004109623,0.003353028],"category_scores_gemma":[0.0003315251,0.0001312449,0.0002485842,0.0001748453,0.0001526171,0.0004564003,0.0002704598,0.0006487055,0.001138172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000254336,"about_ca_system_score_gemma":0.0002898294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004522488,"about_ca_topic_score_gemma":0.0006204188,"domain_scores_codex":[0.9998242,0.00002508211,0.00001939314,0.00003345326,0.0000715956,0.00002621968],"domain_scores_gemma":[0.999868,0.00002793843,0.0000472743,0.00001236274,0.00002756116,0.00001680699],"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":[0.0002284147,0.00005394272,0.0001366386,0.0003082933,0.00001963695,0.0002269108,0.00003198891,0.000160794,0.9325483,0.001287016,0.001576295,0.06342165],"study_design_scores_gemma":[0.00003971509,0.0005085662,0.0007310057,0.00005409587,0.00002994463,0.0007639855,0.00001800767,0.0007508281,0.9552576,0.0001618521,0.04167086,0.00001342944],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6922075,0.1215613,0.1115537,0.001917105,0.002045804,0.0009038092,0.0009478079,0.00178165,0.06708123],"genre_scores_gemma":[0.894286,0.02986857,0.03195012,0.0007587147,0.0002095271,0.0002473195,0.0005331535,0.0002509307,0.04189561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003353028,"threshold_uncertainty_score":0.011217,"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."}}