{"id":"W2080051749","doi":"10.1016/j.bmcl.2007.07.075","title":"(1 ,2 )-4-(2-Cyano-cyclohexyl-oxy)-2-trifluoromethyl-benzonitrile, a potent androgen receptor antagonist for stimulating hair growth and reducing sebum production","year":2007,"lang":"en","type":"article","venue":"Bioorganic & Medicinal Chemistry Letters","topic":"Estrogen and related hormone effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"NAEJA-RGM Pharmaceuticals (Canada)","funders":"","keywords":"Chemistry; Benzonitrile; Trifluoromethyl; Potency; Antagonist; Androgen receptor; Stereochemistry; Chemical synthesis; Hamster; Pharmacokinetics; Pharmacology; Receptor; Endocrinology; Internal medicine; Biochemistry; In vitro; Alkyl; Medicinal chemistry; Organic chemistry","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":[0.0001858031,0.0003322506,0.0003064639,0.0002242675,0.0002579634,0.000113911,0.0003741058,0.0003320476,0.002001495],"category_scores_gemma":[0.0001536204,0.0001166564,0.0001562497,0.0001267217,0.0001887123,0.000197186,0.0001630886,0.0003003992,0.0006137848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000314369,"about_ca_system_score_gemma":0.0004247923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00203401,"about_ca_topic_score_gemma":0.003076253,"domain_scores_codex":[0.9998361,0.0000309361,0.000006452529,0.00002342254,0.00002877114,0.00007434835],"domain_scores_gemma":[0.9999379,0.00001087859,0.0000195639,0.000006379385,0.000009090875,0.00001623571],"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":[0.0009122371,0.00005232134,0.0001306306,0.0001257449,0.000007099274,0.000257296,0.0000244381,0.0001410155,0.989529,0.0004187979,0.0003815854,0.008019996],"study_design_scores_gemma":[0.0002284305,0.002354033,0.004373431,0.00001527135,0.00002191019,0.001344199,0.00004209707,0.0007030888,0.9801092,0.00008146252,0.01070733,0.00001955434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.934209,0.01794681,0.01435658,0.001007287,0.000481846,0.0002366191,0.0007800566,0.0006960685,0.03028569],"genre_scores_gemma":[0.9884084,0.003062171,0.002315539,0.000147424,0.00008356413,0.00006141276,0.0003119303,0.00002322059,0.00558647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00203401,"threshold_uncertainty_score":0.006695688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006512200600931876,"score_gpt":0.2332716295702423,"score_spread":0.2267594289693104,"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."}}