{"id":"W2154236811","doi":"10.1177/1087057108315881","title":"Using the Protein Chip to Screen Agonists and Antagonists of the Androgen Receptor","year":2008,"lang":"en","type":"article","venue":"SLAS DISCOVERY","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"National High-tech Research and Development Program; University of Ottawa","keywords":"Androgen receptor; Receptor; Agonist; Pharmacology; Chemistry; Biology; Internal medicine; Medicine; Biochemistry; Cancer; Prostate cancer","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005523639,0.0005601766,0.0006251724,0.0004366063,0.0003557141,0.0008327223,0.0005142731,0.000715074,0.001756172],"category_scores_gemma":[0.0004404106,0.0002838777,0.0005962353,0.0003496724,0.000444566,0.0002795431,0.0004789447,0.0009221596,0.001258206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005480387,"about_ca_system_score_gemma":0.0005360444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001085219,"about_ca_topic_score_gemma":0.003387851,"domain_scores_codex":[0.9995672,0.00006958876,0.00001468224,0.00007461137,0.0001889295,0.0000849254],"domain_scores_gemma":[0.9998255,0.00007712395,0.00001544287,0.00002371616,0.00002616406,0.00003195347],"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":[0.0001097989,0.00004827708,0.0002837764,0.00006764274,0.00003203427,0.0000359253,0.000008502018,0.0004300709,0.9895175,0.0004978983,0.0005940375,0.008374467],"study_design_scores_gemma":[0.00004393924,0.0004662179,0.001404712,0.000006010637,0.00005320878,0.0001978106,0.00002411695,0.003703493,0.9823306,0.0002718514,0.01147302,0.00002515671],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7926329,0.01222695,0.1677437,0.002804267,0.0009512895,0.0006198449,0.004143885,0.001844028,0.01703315],"genre_scores_gemma":[0.8709578,0.007588308,0.09476771,0.002317386,0.0001280558,0.0005340898,0.003587414,0.0001331188,0.01998616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001756172,"threshold_uncertainty_score":0.005874932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0230399087295452,"score_gpt":0.2797386675944851,"score_spread":0.2566987588649399,"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."}}