{"id":"W2896277850","doi":"10.18433/jpps30227","title":"Application of in Silico Tools in Clinical Practice using Ketoconazole as a Model Drug","year":2018,"lang":"en","type":"article","venue":"Journal of Pharmacy & Pharmaceutical Sciences","topic":"Helicobacter pylori-related gastroenterology studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre","funders":"","keywords":"Ketoconazole; Bioavailability; Pharmacokinetics; Context (archaeology); Drug; Pharmacology; Biopharmaceutics; Absorption (acoustics); Achlorhydria; Stomach; Medicine; Chemistry; Internal medicine; Biological activity; Biology; Biochemistry; Dermatology; In vitro","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001272397,0.0009717257,0.0008656614,0.0006916463,0.0003838632,0.001447494,0.001019905,0.001495774,0.004906721],"category_scores_gemma":[0.003365226,0.0005507761,0.001171376,0.000345815,0.0003261098,0.000475397,0.0007784587,0.0008931664,0.00084048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005222293,"about_ca_system_score_gemma":0.001425266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005225366,"about_ca_topic_score_gemma":0.004713895,"domain_scores_codex":[0.9996237,0.000162706,0.00003477347,0.00006231435,0.00008662017,0.00002981854],"domain_scores_gemma":[0.9979583,0.001643261,0.0001124165,0.00006429822,0.0001754644,0.00004619907],"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":[0.0003899508,0.000245084,0.006744442,0.000991842,0.0002426461,0.0005182285,0.0002217878,0.9376438,0.01036273,0.005729272,0.003267199,0.03364296],"study_design_scores_gemma":[0.00005799797,0.0001173604,0.0005181622,0.00006738008,0.00006787392,0.0001152327,0.00004716803,0.9866297,0.003535595,0.002563201,0.006258631,0.00002164943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2073207,0.002866265,0.7463368,0.001819858,0.0004086884,0.0007332598,0.005178057,0.01559422,0.01974206],"genre_scores_gemma":[0.748502,0.002125198,0.2386337,0.000575605,0.00008363993,0.00118334,0.003336009,0.001066323,0.004494143],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005225366,"threshold_uncertainty_score":0.01641458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.181238401002562,"score_gpt":0.519524557485656,"score_spread":0.338286156483094,"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."}}