{"id":"W3094035362","doi":"10.3390/ijms21217895","title":"Chemical Starting Matter for HNF4α Ligand Discovery and Chemogenomics","year":2020,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Genentech; Aventis Foundation; Wellcome Trust; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Ontario Genomics; Genome Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; McGill University; Bayer; Pfizer","keywords":"Druggability; Hepatocyte nuclear factors; Computational biology; Drug discovery; Nuclear receptor; Hepatocyte nuclear factor 4; Transcription factor; Biology; Ligand (biochemistry); Chemistry; Bioinformatics; Pharmacology; Gene; Receptor; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004558983,0.0005681815,0.000371443,0.0003853655,0.0003927581,0.0006249856,0.0004341903,0.0008024873,0.006353632],"category_scores_gemma":[0.000445103,0.0002501248,0.0004083264,0.0003507087,0.0005171633,0.001022488,0.0008964554,0.002204046,0.002918797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004244029,"about_ca_system_score_gemma":0.0004728576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002386511,"about_ca_topic_score_gemma":0.0005679347,"domain_scores_codex":[0.9998127,0.00003605134,0.000009352874,0.0000407286,0.0000613815,0.00003987084],"domain_scores_gemma":[0.999856,0.00003123,0.00002658618,0.00002705847,0.00003164982,0.0000274445],"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":[0.0004427556,0.0004760643,0.0005220114,0.002059408,0.00008177398,0.001221267,0.0002400823,0.00367505,0.7468542,0.08880297,0.01536378,0.1402606],"study_design_scores_gemma":[0.0001116413,0.002229928,0.0006364536,0.0003175079,0.00005678288,0.00151179,0.0001297722,0.002593944,0.6562753,0.01774989,0.3183156,0.00007130005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2554935,0.1563779,0.409491,0.01661424,0.004493595,0.001130512,0.005811473,0.001767949,0.1488198],"genre_scores_gemma":[0.724389,0.1145466,0.1162372,0.005623498,0.001217736,0.0008332073,0.003238481,0.0002388087,0.03367533],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006353632,"threshold_uncertainty_score":0.02125508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01925845366705945,"score_gpt":0.2801520210919257,"score_spread":0.2608935674248662,"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."}}