{"id":"W4387860920","doi":"10.1101/2023.10.21.563410","title":"In Vitro Safety Signals for Potential Clinical Development of the Anti-Inflammatory Pregnane X Receptor Agonist FKK6","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Hormonal Regulation and Hypertension","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Grantová Agentura České Republiky","keywords":"Pregnane X receptor; Chemistry; CYP3A4; In vivo; Agonist; Pharmacology; Receptor; In vitro; Microsome; Biochemistry; Nuclear receptor; Metabolism; Cytochrome P450; Biology; Transcription factor","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":[0.0007259685,0.0004206183,0.0003370662,0.0001825592,0.0002044964,0.0006905076,0.0002907149,0.0006937707,0.006108976],"category_scores_gemma":[0.0006657417,0.0001344128,0.0003152851,0.0001336013,0.0002892935,0.0002260054,0.0002049879,0.0008794704,0.001693856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004752222,"about_ca_system_score_gemma":0.0004531937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003009424,"about_ca_topic_score_gemma":0.0005790783,"domain_scores_codex":[0.9994691,0.0002472466,0.00003630201,0.00005290718,0.0001348899,0.00005949621],"domain_scores_gemma":[0.9996742,0.00007552098,0.00008611033,0.0000517244,0.00006774125,0.00004474401],"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":[0.002388066,0.0002893294,0.001226873,0.0005493059,0.00003476617,0.0004123232,0.00005284621,0.0006863168,0.9605439,0.00117222,0.00164235,0.03100165],"study_design_scores_gemma":[0.0004783802,0.01333506,0.006167112,0.0001376844,0.0001857991,0.002423353,0.0001314567,0.001544202,0.9210225,0.0007080912,0.0538426,0.00002392592],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8638085,0.05715521,0.03841687,0.004493214,0.001028526,0.001082278,0.004127113,0.0005397351,0.02934853],"genre_scores_gemma":[0.9805596,0.006661432,0.00578774,0.000585626,0.0001711642,0.0002812702,0.001581205,0.00003071885,0.004341292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006108976,"threshold_uncertainty_score":0.02043653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03838580375379516,"score_gpt":0.2836733649536226,"score_spread":0.2452875611998274,"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."}}